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A

a(double) - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
absPath - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
AbstractCache<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
This is generic VocabCache implementation designed as abstract SequenceElements vocabulary
AbstractCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
AbstractCache.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
 
AbstractCoOccurrences<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
This class implements building cooccurrence map for abstract training corpus.
AbstractCoOccurrences.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
 
AbstractDataSetIterator<T> - Class in org.deeplearning4j.datasets.iterator
This is simple DataSetIterator implementation, that builds DataSetIterator out of INDArray/float[]/double[] pairs.
AbstractDataSetIterator(Iterable<Pair<T, T>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
AbstractElementFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.serialization
This is universal serialization/deserialization factor for SequenceVectors serialization.
AbstractElementFactory(Class<? extends SequenceElement>) - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
This is the only constructor available for AbstractElementFactory
AbstractLayer<LayerConfT extends Layer> - Class in org.deeplearning4j.nn.layers
A layer with input and output, no parameters or gradients
AbstractLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.AbstractLayer
 
AbstractLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.AbstractLayer
 
AbstractLSTM - Class in org.deeplearning4j.nn.conf.layers
LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
AbstractLSTM(AbstractLSTM.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.AbstractLSTM
 
AbstractLSTM.Builder<T extends AbstractLSTM.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
AbstractSameDiffLayer - Class in org.deeplearning4j.nn.conf.layers.samediff
 
AbstractSameDiffLayer(AbstractSameDiffLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
AbstractSameDiffLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
AbstractSameDiffLayer.Builder<T extends AbstractSameDiffLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers.samediff
 
AbstractSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
This is basic generic SequenceIterator implementation
AbstractSequenceIterator(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
 
AbstractSequenceIterator.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
 
AbstractVertexFactory<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.vertex
VertexFactory implementation
AbstractVertexFactory() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
 
ACCESS_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
ACCESS_SECRET - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
accessKey - Variable in class org.deeplearning4j.aws.s3.BaseS3
 
accumulateScore(double) - Method in interface org.deeplearning4j.nn.api.Model
Sets a rolling tally for the score.
accumulateScore(double) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
accumulateScore(double) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
accumulateScore(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
accumulator - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
accumulator - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
accumulator - Variable in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer
 
accumulator - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
accumulator - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
 
accumulator - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
accumulator - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
accuracy() - Method in class org.deeplearning4j.eval.Evaluation
Accuracy: (TP + TN) / (P + N)
accuracy(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the accuracy for the specified output
accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest
accuracy(List<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Accuracy based on questions which are a space separated list of strings where the first word is the query word, the next 2 words are negative, and the last word is the predicted word to be nearest PLEASE NOTE: This method is not available in this implementation.
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
actingBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
actingBlockLength - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
actingVersion - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
actionForMapPartition(JavaRDD) - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
activate(boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Perform forward pass and return the activations array with the last set input
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Perform forward pass and return the activations array with the specified input
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
activate(INDArray, IActivation) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
activate(INDArray, IActivation) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
activate(INDArray, boolean, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
activate(INDArray, boolean, double, double, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
activate(INDArray, boolean, double, double, double, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
activate(INDArray, INDArray) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Essentially: just apply activation functions...
activate(INDArray, INDArray, LayerWorkspaceMgr) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
activate(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
activate(Layer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.recurrent.LSTMHelper
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
activate(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
activate(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activate(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
activateHelper(BaseLayer, NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, INDArray, INDArray, boolean, boolean, String, INDArray, boolean, LSTMHelper, CacheMode, LayerWorkspaceMgr) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
Returns FwdPassReturn object with activations/INDArrays.
activateScavenger() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method removes low-frequency words based on their frequency change between activations.
activateSelectedLayers(int, int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate activation for few layers at once.
activation(String) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
Deprecated.
Use ActivationLayer.Builder.activation(Activation) or @activation(IActivation)
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the activation function for the layer.
activation(Activation) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the activation function for the layer, from an Activation enumeration value.
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Activation function / neuron non-linearity
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
activation(Activation) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Activation function / neuron non-linearity
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
activation - Variable in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
activation(IActivation) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Activation function / neuron non-linearity
activation(Activation) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Activation function / neuron non-linearity
activationFn - Variable in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
activationFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
activationFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
activationFn - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
activationFn - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
activationFromPrevLayer(int, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
ActivationLayer - Class in org.deeplearning4j.nn.conf.layers
 
ActivationLayer(ActivationLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
ActivationLayer(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
ActivationLayer(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
ActivationLayer - Class in org.deeplearning4j.nn.layers
Activation Layer Used to apply activation on input and corresponding derivative on epsilon.
ActivationLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.ActivationLayer
 
ActivationLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.ActivationLayer
 
ActivationLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
active(String) - Method in class org.ansj.dic.LearnTool
尝试激活,新词
adaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
adaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
adaGrad - Variable in class org.deeplearning4j.plot.Tsne
 
ADAGRAD - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
ADAGRAD - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
adapt2dMask(INDArray, INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
adapter - Variable in class org.deeplearning4j.spark.util.BaseDoubleFlatMapFunctionAdaptee
 
adapter - Variable in class org.deeplearning4j.spark.util.BasePairFlatMapFunctionAdaptee
 
add(String) - Method in class com.atilika.kuromoji.trie.Trie
Adds an input value to this trie
add(String) - Method in class com.atilika.kuromoji.trie.Trie.Node
Add string to add to this node
add(String, boolean) - Method in class com.atilika.kuromoji.trie.Trie.Node
 
add(T, T) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Increments the entry specified by actual and predicted by one.
add(T, T, int) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Increments the entry specified by actual and predicted by count.
add(ConfusionMatrix<T>) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Adds the entries from another confusion matrix to this one.
add(CSVRecord) - Method in class org.deeplearning4j.nearestneighbor.model.BatchRecord
Add a record
add(E) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
add(E) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
add(T) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
Add - Class in org.deeplearning4j.spark.impl.common
Adds 2 ndarrays
Add() - Constructor for class org.deeplearning4j.spark.impl.common.Add
 
add(ValidationResult) - Method in class org.deeplearning4j.spark.util.data.ValidationResult
 
add(E) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
addAccumulator(Counter<Long>, Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
addAccumulator(ExtraCounter<Long>, ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
addAccumulator(Counter<Integer>, Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
addAccumulator(Counter<String>, Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
addAll(Collection<? extends E>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
addAll(Collection<? extends E>) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
addAll(Collection<? extends T>) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
addAll(Collection<? extends E>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
addAuthHeader(HttpRequest) - Method in class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
Add the specified authentication header to the specified HttpRequest
addBiasParam(String, int[]) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
Add a bias parameter to the layer, with the specified shape.
addBin(double, double, double) - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
Add a single bin
addBos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
addChild(Trie.Node) - Method in class com.atilika.kuromoji.trie.Trie.Node
Adds a new child node to this node
addClusterInfo(String) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
addCompletionHook(long, long, long) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
addComponents(Component...) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
Components to show internally in the accordion element
addDistribution(int, ReconstructionDistribution) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
Add another distribution to the composite distribution.
addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.graph.api.BaseGraph
 
addEdge(Edge<E>) - Method in interface org.deeplearning4j.graph.api.IGraph
Add an edge to the graph.
addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.graph.api.IGraph
Convenience method for adding an edge (directed or undirected) to graph
addEdge(Edge<E>) - Method in class org.deeplearning4j.graph.graph.Graph
 
addEdge(Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
addEdge(int, int, E, boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
Convenience method for adding an edge (directed or undirected) to graph
addEdge(Edge<E>) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Add an edge to the graph.
addEdge(int, int, E, boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Convenience method for adding an edge (directed or undirected) to graph
addElement(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Adds single element to sequence
addElements(Collection<T>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Adds collection of elements to the sequence
addEntry(String) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
addEos() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
addFreq(int, int) - Method in class org.ansj.domain.PersonNatureAttr
设置
addHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Add a hook for the master for pre and post training
addHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Add a training hook to be used during training of the worker
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Add a hook for the master for pre and post training
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
Add a training hook to be used during training of the worker
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
addHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
addInPlace(Counter<Long>, Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
addInPlace(ExtraCounter<Long>, ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
addInPlace(Counter<Integer>, Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
addInPlace(Counter<String>, Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
addInput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set as an input, the entire contents (all columns) of the RecordReader or SequenceRecordReader
addInput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set as an input, a subset of the specified RecordReader or SequenceRecordReader
addInput(INDArray...) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
addInput(INDArray[], INDArray[]) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
addInput(INDArray...) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
addInput(INDArray[], INDArray[]) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
addInput(INDArray[], INDArray[]) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
addInputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add as an input a single column from the specified RecordReader / SequenceRecordReader The assumption is that the specified column contains integer values in range 0..numClasses-1; this integer will be converted to a one-hot representation
addInputs(String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the inputs to the network, and their associated labels.
addInputs(Collection<String>) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the inputs to the network, and their associated labels.
addInputs(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
 
addKeyFile(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
addLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument
 
addLabelForDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Add word to a document
addLabelForDoc(int, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addLabelsForDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Add word to a document
addLabelsForDoc(int, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addLane(String, List<ChartTimeline.TimelineEntry>) - Method in class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
 
addLayer(String, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer, with no InputPreProcessor, with the specified name and specified inputs.
addLayer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer and an InputPreProcessor, with the specified name and specified inputs.
addLayer(Layer) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Add layers to the net Required if layers are removed.
addLayer(String, Layer, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Add a layer of the specified configuration to the computation graph
addLayer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Add a layer with a specified preprocessor
addLayers(ComputationGraphConfiguration.GraphBuilder, int, int, int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
addLayers(ComputationGraphConfiguration.GraphBuilder, int, int, int, int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
addLayers(ComputationGraphConfiguration.GraphBuilder, int, String, int, int, int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
addListeners(TrainingListener...) - Method in interface org.deeplearning4j.nn.api.Model
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
addListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method ADDS additional TrainingListener to existing listeners
addListeners(TrainingListener...) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
addMapping(int, int) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
addMapping(int, int) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
 
addNewClusterWithCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
addNodeAtIndex(int, INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
 
addNormalizerToModel(File, Normalizer<?>) - Static method in class org.deeplearning4j.util.ModelSerializer
This method appends normalizer to a given persisted model.
addObjectToFile(File, String, Object) - Static method in class org.deeplearning4j.util.ModelSerializer
Add an object to the (already existing) model file using Java Object Serialization.
addObserver(Observer) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
addOtherTrainingStats(SparkTrainingStats) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Combine the two training stats instances.
addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
addOtherTrainingStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
addOutput(String) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set as an output, the entire contents (all columns) of the RecordReader or SequenceRecordReader
addOutput(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add an output, with a subset of the columns from the named RecordReader or SequenceRecordReader
addOutputOneHot(String, int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
An an output, where the output is taken from a single column from the specified RecordReader / SequenceRecordReader The assumption is that the specified column contains integer values in range 0..numClasses-1; this integer will be converted to a one-hot representation (usually for classification)
addPoint(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Add a point to the cluster
addPoint(Point, boolean) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Add a point to the cluster
addPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
 
addPreProcessor(int, MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
Inserts the specified preprocessor at the specified position to the list of preprocessors to be applied
addPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
addPreProcessor(int, DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
addPreProcessors(InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Add preprocessors automatically, given the specified types of inputs for the network.
addRandomHyperPlane() - Method in class org.deeplearning4j.clustering.randomprojection.RPHyperPlanes
Add a new random element to the hyper plane.
addReader(String, RecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add a RecordReader for use in .addInput(...) or .addOutput(...)
addSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
addSentenceIterators(Collection<SentenceIterator>) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
addSentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
addSequenceLabel(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Adds sequence label.
addSequenceReader(String, SequenceRecordReader) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Add a SequenceRecordReader for use in .addInput(...) or .addOutput(...)
addSeries(String, double[], double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartLine.Builder
 
addSeries(String, double[], double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
 
addSeries(String, double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
Add a single series.
addSource(SequenceIterator<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Adds SequenceIterator for vocabulary construction.
addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
Root folder for labels -> documents.
addSourceFolder(File) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
Root folder for labels -> documents.
addSourceIterator(DataSetIterator) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
addTerm(NewWord) - Method in class org.ansj.dic.LearnTool
增加一个新词到树中
addTerm(Term) - Method in class org.ansj.util.Graph
增加一个词语到图中
addToConfusion(Integer, Integer) - Method in class org.deeplearning4j.eval.Evaluation
Adds to the confusion matrix
addToken(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
This method adds specified SequenceElement to vocabulary
addToken(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addToken(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Adds a token to the cache
addValue(String, double) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
addValues(List<String>, double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
addValues(List<String>, float[]) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
addVariable(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
addVertex(Vertex<V>, Edge<E>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
addVertex(Vertex<V>, Collection<Edge<E>>) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a GraphVertex to the network configuration.
addVertex(String, GraphVertex, String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Add a vertex of the given configuration to the computation graph
addWeightParam(String, int...) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
Add a weight parameter to the layer, with the specified shape.
addWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Adds new word to vocabulary
addWord(VocabularyWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
addWordsToDoc(int, List<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDoc(int, List<T>, String) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDoc(int, List<T>, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDoc(int, List<T>, Collection<String>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordsToDocVocabWord(int, List<T>, Collection<T>) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Adds words to the given document
addWordToDoc(int, T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Add word to a document
addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
This method allows to insert specified label to specified Huffman tree position.
addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
addWordToIndex(int, String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addWordToIndex(int, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
addWordToIndex(int, String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
addWordToIndex(int, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
addWorkerStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
adjustBlock(ComputationGraphConfiguration.GraphBuilder, int, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
adjustBlock(ComputationGraphConfiguration.GraphBuilder, int, String, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
adjustedrSquared(double, int, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This calculates the adjusted r^2 including degrees of freedom.
affinityId - Variable in class org.deeplearning4j.models.word2vec.VocabWord
 
AggregatingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
This is simple wrapper suited for aggregation of few SentenceIterators into single flow.
AggregatingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
 
aggregationDepth - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
aggregationDepth - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
aggregationDepth(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
The number of levels in the aggregation tree for parameter synchronization.
aggregationFinished(VoidAggregation) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
AgronaPersistable - Interface in org.deeplearning4j.ui.storage
Created by Alex on 07/10/2016.
AlexNet - Class in org.deeplearning4j.zoo.model
AlexNet Dl4j's AlexNet model interpretation based on the original paper ImageNet Classification with Deep Convolutional Neural Networks and the imagenetExample code referenced.
ALF - Variable in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
allDepleted - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
allDocs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of all documents
allFalse() - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
This method returns true if ALL states are false.
allFeatureCount - Variable in class org.ansj.app.crf.Model
 
allFreq - Variable in class org.ansj.domain.PersonNatureAttr
 
allFreq - Variable in class org.ansj.domain.TermNatures
所有的词频
allFrequency - Variable in class org.ansj.domain.Nature
 
allLabels() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Return the list of labels - this also defines the class/integer label assignment order
allLabels() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
allLabels() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
allLabels() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
allowDisconnected - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
allowDisconnected(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Used only during validation after building.
If true: don't throw an exception on configurations containing vertices that are 'disconnected'.
allowEmptyClusters - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
allowMultithreading - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
allowMultithreading(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
This method enables/disables parallel processing over sentences
allowNoOutput - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
allowNoOutput(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Used only during validation after building.
If true: don't throw an exception on configurations without any outputs.
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method enables/disables parallel tokenization.
allowParallelTokenization - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method enables/disables parallel tokenization.
allowParallelTokenization(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
allParamConstraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
allParamConstraints - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
allRunning() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
allTrue() - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
This method returns true if ALL states are true.
allWords() - Method in interface org.ansj.splitWord.GetWords
全文全词全匹配
allWords() - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
alpha - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
alpha - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
alpha(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Parameter in exponent of weighting function; default 0.75
alpha - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
alpha(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Parameter in exponent of weighting function; default 0.75
alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
alpha - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
alpha - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
alpha - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
alpha(double) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
alpha - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
alpha(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
LRN scaling constant alpha.
alpha - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
AlphaDropout - Class in org.deeplearning4j.nn.conf.dropout
AlphaDropout is a dropout technique proposed by Klaumbauer et al.
AlphaDropout(double) - Constructor for class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
AlphaDropout(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
AlphaDropout(double, ISchedule, double, double) - Constructor for class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
AmbiguityLibrary - Class in org.ansj.library
 
AmbiguityLibrary() - Constructor for class org.ansj.library.AmbiguityLibrary
 
Analysis - Class in org.ansj.splitWord
基本分词+人名识别
Analysis() - Constructor for class org.ansj.splitWord.Analysis
 
Analysis.Merger - Class in org.ansj.splitWord
 
analyzeTokenInfo(InputStream) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
ancestor(int, Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the ancestor of the given tree
AnsjItem - Class in org.ansj.domain
 
AnsjItem() - Constructor for class org.ansj.domain.AnsjItem
 
AnsjReader - Class in org.ansj.util
我又剽窃了下jdk...职业嫖客 为了效率这个流的操作是不支持多线程的,要么就是长时间不写这种东西了。发现好费劲啊 这个reader的特点。。只会输入 句子不会输出\r\n .会有一个start来记录当前返回字符串。起始偏移量
AnsjReader(Reader, int) - Constructor for class org.ansj.util.AnsjReader
Creates a buffering character-input stream that uses an input buffer of the specified size.
AnsjReader(Reader) - Constructor for class org.ansj.util.AnsjReader
Creates a buffering character-input stream that uses a default-sized input buffer.
append(String, String[]) - Static method in class org.ansj.library.SynonymsLibrary
合并更新同义词 覆盖更新同义词 [中国, 中华, 我国] -> append([中国,华夏]) -> [中国, 中华, 我国 , 华夏]
appendGraph(ComputationGraphConfiguration.GraphBuilder, String, int, int[], int[], int[], int[], SubsamplingLayer.PoolingType, Activation, String) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
appendGraph(ComputationGraphConfiguration.GraphBuilder, String, int, int[], int[], int[], int[], SubsamplingLayer.PoolingType, int, Activation, String) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
appendGraph(ComputationGraphConfiguration.GraphBuilder, String, int, int[], int[], int[], int[], SubsamplingLayer.PoolingType, int, int, Activation, String) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
appendGraph(ComputationGraphConfiguration.GraphBuilder, String, int, int[], int[], int[], int[], SubsamplingLayer.PoolingType, int, int, int, Activation, String) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
Appends inception layer configurations a GraphBuilder object, based on the concept of Inception via the GoogleLeNet paper: https://arxiv.org/abs/1409.4842
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
appendTo(StringBuilder) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
appliedConfiguration - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
appliedNeuralNetConfiguration(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
appliedNeuralNetConfigurationBuilder() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
apply(INDArray) - Method in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
apply(INDArray) - Method in class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint
 
apply(INDArray) - Method in class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
 
apply(INDArray) - Method in class org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint
 
apply(INDArray) - Method in class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint
 
apply(GloveWeightLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
Apply the changes to the table
apply(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecChange
Deprecated.
Take the changes and apply them to the given table
apply(String) - Method in class org.deeplearning4j.ui.play.staticroutes.Assets
 
apply(String) - Method in class org.deeplearning4j.ui.play.staticroutes.I18NRoute
 
applyClusteringStrategy() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
applyConstraint(Layer, int, int) - Method in interface org.deeplearning4j.nn.api.layers.LayerConstraint
Apply a given constraint to a layer at each iteration in the provided epoch, after parameters have been updated.
applyConstraint(Layer, int, int) - Method in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
applyConstraints(int, int) - Method in interface org.deeplearning4j.nn.api.Model
Apply any constraints to the model
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
applyConstraints(int, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
applyConstraints(Model) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
applyConstraints(int, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
applyDropout(INDArray, int, int, boolean) - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
applyDropout(INDArray, int, int, boolean) - Method in class org.deeplearning4j.nn.conf.dropout.Dropout
 
applyDropout(INDArray, int, int, boolean) - Method in class org.deeplearning4j.nn.conf.dropout.GaussianDropout
 
applyDropout(INDArray, int, int, boolean) - Method in class org.deeplearning4j.nn.conf.dropout.GaussianNoise
 
applyDropout(INDArray, int, int, boolean) - Method in interface org.deeplearning4j.nn.conf.dropout.IDropout
 
applyDropout(INDArray, int, int, boolean) - Method in class org.deeplearning4j.nn.conf.dropout.SpatialDropout
 
applyDropOutIfNecessary(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
applyDropOutIfNecessary(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
applyDropOutIfNecessary(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
applyGlobalConfig(NeuralNetConfiguration.Builder) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
applyGlobalConfigToLayer(NeuralNetConfiguration.Builder) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
Apply the global configuration (weight init, activation function, etc) to this layer
applyGlobalConfigToLayer(NeuralNetConfiguration.Builder) - Method in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
applyIndexes(VocabCache<? extends SequenceElement>) - Method in class org.deeplearning4j.models.word2vec.Huffman
This method updates VocabCache and all it's elements with Huffman indexes Please note: it should be the same VocabCache as was used for Huffman tree initialization
applyMask(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
applyMask(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
applyOptimization(OptimisationStrategy, ClusterSet, ClusterSetInfo, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
applyPreprocessor(T) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
applyPreprocessor(DataSet) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
applyPreprocessor(MultiDataSet) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
applyPreprocessorAndSetInput(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
applySubsampling(Sequence<T>, AtomicLong) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
applySubsampling(Sequence<T>, AtomicLong) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
applySubsampling(Sequence<ShallowSequenceElement>, AtomicLong, long, double) - Static method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
applyTo(List<Point>) - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
applyTo(List<Point>) - Method in interface org.deeplearning4j.clustering.algorithm.ClusteringAlgorithm
Apply a clustering algorithm for a given result
applyToComputationGraphConfiguration(ComputationGraphConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
applyToMultiLayerConfiguration(MultiLayerConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
applyToNeuralNetConfiguration(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
applyUpdate(StepFunction, INDArray, INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method applies accumulated updates via given StepFunction
applyUpdate(StepFunction, INDArray, INDArray, double) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method applies accumulated updates via given StepFunction
applyUpdate(StepFunction, INDArray, INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method applies accumulated updates via given StepFunction
applyUpdate(StepFunction, INDArray, INDArray, double) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method applies accumulated updates via given StepFunction
applyUpdate(StepFunction, INDArray, INDArray) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method applies accumulated updates via given StepFunction
applyUpdate(StepFunction, INDArray, INDArray, double) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method applies accumulated updates via given StepFunction
arr(INDArray) - Static method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
ArrayComparator() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.ArrayComparator
 
arrayElementsPerExample() - Method in class org.deeplearning4j.nn.conf.inputs.InputType
 
arrayElementsPerExample() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
arrayElementsPerExample() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
arrayElementsPerExample() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
arrayElementsPerExample() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
arrayElementsPerExample() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
arrayLength - Static variable in class org.ansj.library.DATDictionary
数组长度
ArrayPairToPair<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Simple conversion function for SparkComputationGraph
ArrayPairToPair() - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ArrayPairToPair
 
arrayToList(byte[], int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method is used only for VocabCache compatibility purposes
arrayToList(int[], int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method is used only for VocabCache compatibility purposes
ArrayType - Enum in org.deeplearning4j.nn.workspace
Array type enumeration for use with LayerWorkspaceMgr

Array types:
INPUT: The array set to the input field of a layer (i.e., input activations)
ACTIVATIONS: The output activations for a layer's feed-forward method
ACTIVATION_GRAD: Activation gradient arrays - aka "epsilons" - output from a layer's backprop method
FF_WORKING_MEM: Working memory during feed-forward.
ASCIICoOccurrenceReader<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
 
ASCIICoOccurrenceReader(File, VocabCache<T>) - Constructor for class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
 
ASCIICoOccurrenceWriter<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
 
ASCIICoOccurrenceWriter(File) - Constructor for class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
 
asExampleArray(Window, Word2Vec, boolean) - Static method in class org.deeplearning4j.text.movingwindow.WindowConverter
Converts a window (each word in the window) in to a vector.
asExampleMatrix(Window, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WindowConverter
Converts a window (each word in the window) in to a vector.
AsianPersonRecognition - Class in org.ansj.recognition.arrimpl
人名识别工具类
AsianPersonRecognition() - Constructor for class org.ansj.recognition.arrimpl.AsianPersonRecognition
 
asLabels() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Returns this sequence as list of labels
assertExportSupported(JavaSparkContext) - Static method in class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport
Verify that exporting data is supported, and throw an informative exception if not.
assertInputSet(boolean) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
assertInputSet(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
assertNInNOutSet(String, String, int, int, int) - Static method in class org.deeplearning4j.nn.conf.layers.LayerValidation
Asserts that the layer nIn and nOut values are set for the layer
Assets - Class in org.deeplearning4j.ui.play.staticroutes
Simple function for serving assets.
Assets() - Constructor for class org.deeplearning4j.ui.play.staticroutes.Assets
 
ASSETS_ROOT_DIRECTORY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
 
AssignIndexFunction<T> - Class in org.deeplearning4j.spark.impl.common.repartition
Deprecated.
Use RDD.zipWithIndex() instead
AssignIndexFunction(int[]) - Constructor for class org.deeplearning4j.spark.impl.common.repartition.AssignIndexFunction
Deprecated.
 
assignVar(String, SparkConf, Class) - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
asString(String) - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
asString(String) - Method in interface org.deeplearning4j.spark.stats.EventStats
Get a String representation of the EventStats.
asString(String) - Method in class org.deeplearning4j.spark.stats.ExampleCountEventStats
 
asString(String) - Method in class org.deeplearning4j.spark.stats.PartitionCountEventStats
 
asTokens() - Method in class org.deeplearning4j.text.movingwindow.Window
 
AsyncDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Async prefetching iterator wrapper for MultiDataSetIterator implementations
AsyncDataSetIterator() - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, boolean, Integer) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
AsyncDataSetIterator.AsyncPrefetchThread - Class in org.deeplearning4j.datasets.iterator
 
AsyncIterator<T> - Class in org.deeplearning4j.parallelism
Asynchronous Iterator for better performance of iterators in dl4j-nn & dl4j-nlp
AsyncIterator(Iterator<T>, int) - Constructor for class org.deeplearning4j.parallelism.AsyncIterator
 
AsyncIterator(Iterator<T>) - Constructor for class org.deeplearning4j.parallelism.AsyncIterator
 
asyncIterator - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
asyncIterators - Variable in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
asyncIterators - Variable in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
AsyncLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
 
AsyncLabelAwareIterator(LabelAwareIterator, int) - Constructor for class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
AsyncMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Async prefetching iterator wrapper for MultiDataSetIterator implementations
AsyncMultiDataSetIterator() - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, boolean, Integer) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
AsyncMultiDataSetIterator.AsyncPrefetchThread - Class in org.deeplearning4j.datasets.iterator
 
AsyncPrefetchThread(BlockingQueue<DataSet>, DataSetIterator, DataSet, MemoryWorkspace) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator.AsyncPrefetchThread
 
AsyncPrefetchThread(BlockingQueue<MultiDataSet>, MultiDataSetIterator, MultiDataSet) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator.AsyncPrefetchThread
 
AsyncSequencer(SequenceIterator<T>, Collection<String>) - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
 
AsyncShieldDataSetIterator - Class in org.deeplearning4j.datasets.iterator
This wrapper takes your existing DataSetIterator implementation and prevents asynchronous prefetch
AsyncShieldDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
 
AsyncShieldMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
This wrapper takes your existing MultiDataSetIterator implementation and prevents asynchronous prefetch
AsyncShieldMultiDataSetIterator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? Most DataSetIterators do, but in some cases it may not make sense to wrap this iterator in an iterator that does asynchronous prefetching.
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? PLEASE NOTE: This iterator ALWAYS returns FALSE
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
/** Does this DataSetIterator support asynchronous prefetching of multiple DataSet objects? PLEASE NOTE: This iterator ALWAYS returns FALSE
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
asyncSupported() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
atomicBoundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
attach(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
Attach the given StatsStorage instance to the UI, so the data can be visualized
attach(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
attachContext(VoidConfiguration, TrainingDriver<? extends TrainingMessage>, Clipboard, Transport, Storage, NodeRole, short) - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
attachDS(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
This method registers given Iterable in VirtualDataSetIterator
attachMDS(Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
This method registers given Iterable in VirtualMultiDataSetIterator
attachThread(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
attachThread(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
authToken - Variable in class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
 
AutoEncoder - Class in org.deeplearning4j.nn.conf.layers
Autoencoder.
AutoEncoder - Class in org.deeplearning4j.nn.layers.feedforward.autoencoder
Autoencoder.
AutoEncoder(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
AutoEncoder(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
AutoEncoder.Builder - Class in org.deeplearning4j.nn.conf.layers
 
AutoencoderScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Score function for a MultiLayerNetwork or ComputationGraph with a single AutoEncoder layer.
AutoencoderScoreCalculator(RegressionEvaluation.Metric, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
availableCheckpoints() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
List all available checkpoints.
average - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
averageAccuracy() - Method in class org.deeplearning4j.eval.EvaluationBinary
 
averagecorrelationR2() - Method in class org.deeplearning4j.eval.RegressionEvaluation
averageF1() - Method in class org.deeplearning4j.eval.EvaluationBinary
 
averageF1NumClassesExcluded() - Method in class org.deeplearning4j.eval.Evaluation
When calculating the (macro) average F1, how many classes are excluded from the average due to no predictions – i.e., F1 would be calculated from a precision or recall of 0/0
averageFBetaNumClassesExcluded() - Method in class org.deeplearning4j.eval.Evaluation
When calculating the (macro) average FBeta, how many classes are excluded from the average due to no predictions – i.e., FBeta would be calculated from a precision or recall of 0/0
averageMeanAbsoluteError() - Method in class org.deeplearning4j.eval.RegressionEvaluation
Average MAE across all columns
averageMeanSquaredError() - Method in class org.deeplearning4j.eval.RegressionEvaluation
Average MSE across all columns
averagePearsonCorrelation() - Method in class org.deeplearning4j.eval.RegressionEvaluation
Average Pearson Correlation Coefficient across all columns
averagePrecision() - Method in class org.deeplearning4j.eval.EvaluationBinary
 
averagePrecisionNumClassesExcluded() - Method in class org.deeplearning4j.eval.Evaluation
When calculating the (macro) average precision, how many classes are excluded from the average due to no predictions – i.e., precision would be the edge case of 0/0
averageRecall() - Method in class org.deeplearning4j.eval.EvaluationBinary
 
averageRecallNumClassesExcluded() - Method in class org.deeplearning4j.eval.Evaluation
When calculating the (macro) average Recall, how many classes are excluded from the average due to no predictions – i.e., recall would be the edge case of 0/0
averagerelativeSquaredError() - Method in class org.deeplearning4j.eval.RegressionEvaluation
Average RSE across all columns
averagerootMeanSquaredError() - Method in class org.deeplearning4j.eval.RegressionEvaluation
Average RMSE across all columns
averageRSquared() - Method in class org.deeplearning4j.eval.RegressionEvaluation
Average R2 across all columns
averageUpdaters - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
averageUpdaters - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
averageUpdaters(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method enables/disables updaters averaging.
averagingFrequency - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
averagingFrequency - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
averagingFrequency(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Model averaging frequency.
averagingFrequency(int) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
averagingFrequency - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
averagingFrequency - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
averagingFrequency - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
averagingFrequency(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Frequency with which to average worker parameters.
Note: Too high or too low can be bad for different reasons.
- Too low (such as 1) can result in a lot of network traffic
- Too high (>> 20 or so) can result in accuracy issues or problems with network convergence
averagingRequired() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
averagingRequired() - Method in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer
 
averagingRequired() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
This method returns TRUE if this Trainer implementation assumes periodic aver
avgPool7x7(int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
avgPoolNxN(int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
awaitDone() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.VocabRunnable
 
AWS_ACCESS_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
AWS_SECRET_KEY - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
awsRegion(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
Defines the EMR cluster's region See https://docs.aws.amazon.com/general/latest/gr/rande.html
axisStrokeWidth - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
axisStrokeWidth - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
axisStrokeWidth(double) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 

B

B - Static variable in class org.ansj.app.crf.Config
 
B - Static variable in class org.ansj.util.Graph
 
b(double) - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
backedIterator - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
backedIterator - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
backendIterator - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
backendIterator - Variable in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
backgroundColor - Variable in class org.deeplearning4j.ui.api.Style
 
backgroundColor - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
backgroundColor(Color) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
backgroundColor(String) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
backgroundColor(Color) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
backgroundColor(String) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
backingQueue - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
backingQueues - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
backprop - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
backprop - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
backprop(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Whether to do back prop (standard supervised learning) or not
backprop(INDArray, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor
Reverse the preProcess during backprop.
backprop - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
backprop - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
backprop(boolean) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
Whether to do back prop or not
backprop(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.BinomialSamplingPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanAndUnitVariancePreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanPrePreProcessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.KerasFlattenRnnPreprocessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.PermutePreprocessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
backprop(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
backprop - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
backprop(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Calculate the gradient relative to the error in the next layer
backpropGradient(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the gradient of the network with respect to some external errors.
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer
 
backpropGradient(INDArray, INDArray, INDArray, int[], int[], int[], INDArray, INDArray, IActivation, ConvolutionLayer.AlgoMode, ConvolutionLayer.BwdFilterAlgo, ConvolutionLayer.BwdDataAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
backpropGradient(INDArray, INDArray, INDArray, int[], int[], int[], INDArray, INDArray, IActivation, ConvolutionLayer.AlgoMode, ConvolutionLayer.BwdFilterAlgo, ConvolutionLayer.BwdDataAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
backpropGradient(INDArray, INDArray, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
backpropGradient(INDArray, INDArray, int[], int[], int[], PoolingType, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
backpropGradient(INDArray, INDArray, int[], INDArray, INDArray, INDArray, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.BatchNormalizationHelper
 
backpropGradient(INDArray, INDArray, int[], INDArray, INDArray, INDArray, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
backpropGradient(INDArray, INDArray, double, double, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
backpropGradient(INDArray, INDArray, double, double, double, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
backpropGradient(NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, int, FwdPassReturn, boolean, String, String, String, Map<String, INDArray>, INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
backpropGradient(NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, int, FwdPassReturn, boolean, String, String, String, Map<String, INDArray>, INDArray, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.recurrent.LSTMHelper
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
backpropGradient(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
backpropGradientHelper(NeuralNetConfiguration, IActivation, INDArray, INDArray, INDArray, INDArray, boolean, int, FwdPassReturn, boolean, String, String, String, Map<String, INDArray>, INDArray, boolean, LSTMHelper, LayerWorkspaceMgr) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
 
BackpropType - Enum in org.deeplearning4j.nn.conf
Defines the type of backpropagation.
backpropType - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
backpropType - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
backpropType(BackpropType) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
The type of backprop.
backpropType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
backpropType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
backpropType(BackpropType) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
The type of backprop.
backpropType - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
backpropType(BackpropType) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
The type of backprop.
BackTrackLineSearch - Class in org.deeplearning4j.optimize.solvers
 
BackTrackLineSearch(Model, StepFunction, ConvexOptimizer) - Constructor for class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
BackTrackLineSearch(Model, ConvexOptimizer) - Constructor for class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
BACKWARD_PREFIX - Static variable in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
BagOfWordsVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
 
BagOfWordsVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
 
BagOfWordsVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
 
BalancedPartitioner - Class in org.deeplearning4j.spark.impl.common.repartition
This is a custom partitioner (used in conjunction with AssignIndexFunction to repartition a RDD.
BalancedPartitioner(int, int, int) - Constructor for class org.deeplearning4j.spark.impl.common.repartition.BalancedPartitioner
 
balancedRandomSplit(int, int, JavaRDD<T>) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Random split the specified RDD into a number of RDDs, where each has numObjectsPerSplit in them.
balancedRandomSplit(int, int, JavaRDD<T>, long) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Equivalent to SparkUtils.balancedRandomSplit(int, int, JavaRDD) with control over the RNG seed
balancedRandomSplit(int, int, JavaPairRDD<T, U>) - Static method in class org.deeplearning4j.spark.util.SparkUtils
balancedRandomSplit(int, int, JavaPairRDD<T, U>, long) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Equivalent to SparkUtils.balancedRandomSplit(int, int, JavaRDD) but for pair RDDs, and with control over the RNG seed
BarnesHutTsne - Class in org.deeplearning4j.plot
Barnes hut algorithm for TSNE, uses a dual tree approximation approach.
BarnesHutTsne(int, String, double, boolean, int, double, double, double, double, int, boolean, int, double, double, boolean, double, TrainingListener, double, int) - Constructor for class org.deeplearning4j.plot.BarnesHutTsne
 
BarnesHutTsne.Builder - Class in org.deeplearning4j.plot
 
barrier - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
barrier - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
barrier - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
Base64NDArrayBody - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 12/24/16.
Base64NDArrayBody() - Constructor for class org.deeplearning4j.nearestneighbor.model.Base64NDArrayBody
 
BASE_DIR - Variable in class org.deeplearning4j.base.MnistFetcher
 
BASE_FORM - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
BaseAnalysis - Class in org.ansj.splitWord.analysis
基本的分词.只做了.ngram模型.和数字发现.其他一律不管
BaseAnalysis() - Constructor for class org.ansj.splitWord.analysis.BaseAnalysis
 
BaseAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.BaseAnalysis
 
BaseClusteringAlgorithm - Class in org.deeplearning4j.clustering.algorithm
adapted to ndarray matrices
BaseClusteringAlgorithm(ClusteringStrategy) - Constructor for class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
BaseClusteringStrategy - Class in org.deeplearning4j.clustering.strategy
 
BaseClusteringStrategy(ClusteringStrategyType, Integer, String, boolean, boolean) - Constructor for class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
BaseClusteringStrategy(ClusteringStrategyType, int, String, boolean) - Constructor for class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
BaseCollectionStatsStorage - Class in org.deeplearning4j.ui.storage
An implementation of the StatsStorage interface, backed by MapDB
BaseCollectionStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
BaseCollectionStatsStorage.SessionTypeId - Class in org.deeplearning4j.ui.storage
 
BaseCollectionStatsStorage.SessionTypeWorkerId - Class in org.deeplearning4j.ui.storage
 
BaseConstraint - Class in org.deeplearning4j.nn.conf.constraint
 
BaseConstraint() - Constructor for class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
BaseConstraint(Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
BaseConvBuilder(int[], int[], int[], int[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int, int...) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseConvBuilder() - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
BaseCudnnHelper - Class in org.deeplearning4j.nn.layers
Functionality shared by all cuDNN-based helpers.
BaseCudnnHelper() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
BaseCudnnHelper.CudnnContext - Class in org.deeplearning4j.nn.layers
 
BaseCudnnHelper.CudnnContext.Deallocator - Class in org.deeplearning4j.nn.layers
 
BaseCudnnHelper.DataCache - Class in org.deeplearning4j.nn.layers
 
BaseCudnnHelper.TensorArray - Class in org.deeplearning4j.nn.layers
 
BaseCurve - Class in org.deeplearning4j.eval.curves
Abstract class for ROC and Precision recall curves
BaseCurve() - Constructor for class org.deeplearning4j.eval.curves.BaseCurve
 
BaseDatasetIterator - Class in org.deeplearning4j.datasets.iterator
Baseline implementation includes control over the data fetcher and some basic getters for metadata
BaseDatasetIterator(int, int, BaseDataFetcher) - Constructor for class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
BaseDataSetIterator<T> - Class in org.deeplearning4j.spark.iterator
Created by huitseeker on 2/15/17.
BaseDataSetIterator() - Constructor for class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
BaseDoubleFlatMapFunctionAdaptee<T> - Class in org.deeplearning4j.spark.util
DoubleFlatMapFunction adapter to hide incompatibilities between Spark 1.x and Spark 2.x This class should be used instead of direct referral to DoubleFlatMapFunction
BaseDoubleFlatMapFunctionAdaptee(FlatMapFunctionAdapter<T, Double>) - Constructor for class org.deeplearning4j.spark.util.BaseDoubleFlatMapFunctionAdaptee
 
BaseEarlyStoppingTrainer<T extends Model> - Class in org.deeplearning4j.earlystopping.trainer
Base/abstract class for conducting early stopping training locally (single machine).
Can be used to train a MultiLayerNetwork or a ComputationGraph via early stopping
BaseEarlyStoppingTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>) - Constructor for class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
BaseEvaluation<T extends BaseEvaluation> - Class in org.deeplearning4j.eval
BaseEvaluation implement common evaluation functionality (for time series, etc) for Evaluation, RegressionEvaluation, ROC, ROCMultiClass etc.
BaseEvaluation() - Constructor for class org.deeplearning4j.eval.BaseEvaluation
 
BaseEventStats - Class in org.deeplearning4j.spark.stats
Created by Alex on 26/06/2016.
BaseEventStats(long, long) - Constructor for class org.deeplearning4j.spark.stats.BaseEventStats
 
BaseEventStats(String, String, long, long, long) - Constructor for class org.deeplearning4j.spark.stats.BaseEventStats
 
BaseFileIterator<T,P> - Class in org.deeplearning4j.datasets.iterator.file
Base class for loading DataSet objects from file
BaseFileIterator(File, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
BaseFileIterator(File[], boolean, Random, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
BaseGraph<V,E> - Class in org.deeplearning4j.graph.api
 
BaseGraph() - Constructor for class org.deeplearning4j.graph.api.BaseGraph
 
BaseGraphVertex - Class in org.deeplearning4j.nn.graph.vertex
BaseGraphVertex defines a set of common functionality for GraphVertex instances.
BaseGraphVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
BaseHistogram - Class in org.deeplearning4j.eval.curves
Created by Alex on 06/07/2017.
BaseHistogram() - Constructor for class org.deeplearning4j.eval.curves.BaseHistogram
 
BaseIEvaluationScoreCalculator<T extends Model,U extends IEvaluation> - Class in org.deeplearning4j.earlystopping.scorecalc.base
Base score function based on an IEvaluation instance.
BaseIEvaluationScoreCalculator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
BaseIEvaluationScoreCalculator(DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
BaseInputPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
 
BaseInputPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor
 
BaseLabels - Class in org.deeplearning4j.zoo.util
Base functionality for helper classes that return label descriptions.
BaseLabels() - Constructor for class org.deeplearning4j.zoo.util.BaseLabels
Override BaseLabels.getLabels() when using this constructor.
BaseLabels(String) - Constructor for class org.deeplearning4j.zoo.util.BaseLabels
No need to override anything with this constructor.
BaseLayer - Class in org.deeplearning4j.nn.conf.layers
A neural network layer.
BaseLayer(BaseLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseLayer
 
BaseLayer<LayerConfT extends BaseLayer> - Class in org.deeplearning4j.nn.layers
A layer with parameters
BaseLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.BaseLayer
 
BaseLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.BaseLayer
 
BaseLayer.Builder<T extends BaseLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseMLNScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc.base
Abstract score calculator for MultiLayerNetwonk
BaseMLNScoreCalculator(DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator
 
BaseMultiLayerUpdater<T extends Model> - Class in org.deeplearning4j.nn.updater
BaseMultiLayerUpdater - core functionality for applying updaters to MultiLayerNetwork and ComputationGraph.
BaseMultiLayerUpdater(T) - Constructor for class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
BaseMultiLayerUpdater(T, INDArray) - Constructor for class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
BaseNetConfigDeserializer<T> - Class in org.deeplearning4j.nn.conf.serde
A custom (abstract) deserializer that handles backward compatibility (currently only for updater refactoring that happened after 0.8.0).
BaseNetConfigDeserializer(JsonDeserializer<?>, Class<T>) - Constructor for class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
BaseOptimizer - Class in org.deeplearning4j.optimize.solvers
Base optimizer
BaseOptimizer(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
BaseOptimizer(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Collection<TerminationCondition>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
BaseOutputLayer - Class in org.deeplearning4j.nn.conf.layers
 
BaseOutputLayer(BaseOutputLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
BaseOutputLayer<LayerConfT extends BaseOutputLayer> - Class in org.deeplearning4j.nn.layers
Output layer with different objective in co-occurrences for different objectives.
BaseOutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.BaseOutputLayer
 
BaseOutputLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.BaseOutputLayer
 
BaseOutputLayer.Builder<T extends BaseOutputLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BasePairFlatMapFunctionAdaptee<T,K,V> - Class in org.deeplearning4j.spark.util
PairFlatMapFunction adapter to hide incompatibilities between Spark 1.x and Spark 2.x This class should be used instead of direct referral to PairFlatMapFunction
BasePairFlatMapFunctionAdaptee(FlatMapFunctionAdapter<T, Tuple2<K, V>>) - Constructor for class org.deeplearning4j.spark.util.BasePairFlatMapFunctionAdaptee
 
BaseParallelDataSetIterator - Class in org.deeplearning4j.datasets.iterator.parallel
 
BaseParallelDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
BasePipeline - Class in org.deeplearning4j
Base pipeline class
BasePipeline() - Constructor for class org.deeplearning4j.BasePipeline
 
BasePipeline.Builder - Class in org.deeplearning4j
 
BasePretrainNetwork - Class in org.deeplearning4j.nn.conf.layers
 
BasePretrainNetwork(BasePretrainNetwork.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
BasePretrainNetwork<LayerConfT extends BasePretrainNetwork> - Class in org.deeplearning4j.nn.layers
Baseline class for any Neural Network used as a layer in a deep network *
BasePretrainNetwork(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
BasePretrainNetwork(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
BasePretrainNetwork.Builder<T extends BasePretrainNetwork.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseRecurrentLayer - Class in org.deeplearning4j.nn.conf.layers
 
BaseRecurrentLayer(BaseRecurrentLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
BaseRecurrentLayer<LayerConfT extends BaseLayer> - Class in org.deeplearning4j.nn.layers.recurrent
 
BaseRecurrentLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
 
BaseRecurrentLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
 
BaseRecurrentLayer.Builder<T extends BaseRecurrentLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseS3 - Class in org.deeplearning4j.aws.s3
The S3 Credentials works via discovering the credentials from the system properties (passed in via -D or System wide) If you invoke the JVM with -Dorg.deeplearning4j.aws.accessKey=YOUR_ACCESS_KEY and -Dorg.deeplearning4j.aws.accessSecret=YOUR_SECRET_KEY this will pick up the credentials from there, otherwise it will also attempt to look in the system environment for the following variables: AWS_ACCESS_KEY_ID AWS_SECRET_ACCESS_KEY
BaseS3() - Constructor for class org.deeplearning4j.aws.s3.BaseS3
 
BaseS3(File) - Constructor for class org.deeplearning4j.aws.s3.BaseS3
 
BaseS3(InputStream) - Constructor for class org.deeplearning4j.aws.s3.BaseS3
 
BaseS3DataSetIterator - Class in org.deeplearning4j.aws.s3.reader
baseline data applyTransformToDestination iterator for
BaseS3DataSetIterator() - Constructor for class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
BaseSameDiffLayer - Class in org.deeplearning4j.nn.conf.layers.samediff
A base layer used for implementing Deeplearning4j layers using SameDiff.
BaseSameDiffLayer(BaseSameDiffLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
BaseSameDiffLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
BaseSameDiffLayer.Builder<T extends BaseSameDiffLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers.samediff
 
BaseScoreCalculator<T extends Model> - Class in org.deeplearning4j.earlystopping.scorecalc.base
 
BaseScoreCalculator(DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
BaseScoreCalculator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
BaseSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Creates a baseline default.
BaseSentenceIterator(SentencePreProcessor) - Constructor for class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
BaseSentenceIterator() - Constructor for class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
BaseSparkEarlyStoppingTrainer<T extends Model> - Class in org.deeplearning4j.spark.earlystopping
Base/abstract class for conducting early stopping training via Spark, on a MultiLayerNetwork or a ComputationGraph
BaseSparkEarlyStoppingTrainer(JavaSparkContext, EarlyStoppingConfiguration<T>, T, JavaRDD<DataSet>, JavaRDD<MultiDataSet>, EarlyStoppingListener<T>) - Constructor for class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
BaseSparkLearningAlgorithm - Class in org.deeplearning4j.spark.models.sequencevectors.learning.elements
 
BaseSparkLearningAlgorithm() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
BaseSparkSequenceLearningAlgorithm - Class in org.deeplearning4j.spark.models.sequencevectors.learning.sequence
 
BaseSparkSequenceLearningAlgorithm() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
BaseStatsListener - Class in org.deeplearning4j.ui.stats
BaseStatsListener: a general purpose listener for collecting and reporting system and model information.
BaseStatsListener(StatsStorageRouter) - Constructor for class org.deeplearning4j.ui.stats.BaseStatsListener
Create a StatsListener with network information collected at every iteration.
BaseStatsListener(StatsStorageRouter, int) - Constructor for class org.deeplearning4j.ui.stats.BaseStatsListener
Create a StatsListener with network information collected every n >= 1 time steps
BaseStatsListener(StatsStorageRouter, StatsInitializationConfiguration, StatsUpdateConfiguration, String, String) - Constructor for class org.deeplearning4j.ui.stats.BaseStatsListener
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(Subsampling3DLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(SubsamplingLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseSubsamplingBuilder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
BaseTextVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
 
BaseTextVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
BaseTokenizerFunction - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
BaseTokenizerFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
BaseTrainingListener - Class in org.deeplearning4j.optimize.api
A no-op implementation of a TrainingListener to be used as a starting point for custom training callbacks.
BaseTrainingListener() - Constructor for class org.deeplearning4j.optimize.api.BaseTrainingListener
 
BaseTrainingMaster<R extends TrainingResult,W extends TrainingWorker<R>> - Class in org.deeplearning4j.spark.impl.paramavg
 
BaseTrainingMaster() - Constructor for class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
BaseTrainingResult - Class in org.deeplearning4j.spark.impl.paramavg
 
BaseTrainingResult() - Constructor for class org.deeplearning4j.spark.impl.paramavg.BaseTrainingResult
 
BaseTrainingWorker<R extends TrainingResult> - Class in org.deeplearning4j.spark.impl.paramavg
 
BaseTrainingWorker() - Constructor for class org.deeplearning4j.spark.impl.paramavg.BaseTrainingWorker
 
BaseUpsamplingLayer - Class in org.deeplearning4j.nn.conf.layers
Upsampling base layer
BaseUpsamplingLayer(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
BaseUpsamplingLayer.UpsamplingBuilder<T extends BaseUpsamplingLayer.UpsamplingBuilder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
BaseVaeReconstructionProbWithKeyFunctionAdapter<K> - Class in org.deeplearning4j.spark.impl.common.score
Function to calculate the scores (reconstruction probability or log probability) for a variational autoencoder.
Note that scoring is batched for computational efficiency.
BaseVaeReconstructionProbWithKeyFunctionAdapter(Broadcast<INDArray>, Broadcast<String>, boolean, int, int) - Constructor for class org.deeplearning4j.spark.impl.common.score.BaseVaeReconstructionProbWithKeyFunctionAdapter
 
BaseVaeScoreWithKeyFunctionAdapter<K> - Class in org.deeplearning4j.spark.impl.common.score
Function to calculate the scores (reconstruction probability, reconstruction error) for a variational autoencoder.
Note that scoring is batched for computational efficiency.
BaseVaeScoreWithKeyFunctionAdapter(Broadcast<INDArray>, Broadcast<String>, int) - Constructor for class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
BaseWrapperLayer - Class in org.deeplearning4j.nn.conf.layers.wrapper
Base wrapper layer: the idea is to pass through all methods to the underlying layer, and selectively override them as required.
BaseWrapperLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
BaseWrapperLayer(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
BaseWrapperLayer - Class in org.deeplearning4j.nn.layers.wrapper
Abstract wrapper layer.
BaseWrapperLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
BaseWrapperVertex - Class in org.deeplearning4j.nn.graph.vertex
A base class for wrapper vertices: i.e., those vertices that have another vertex inside.
BaseWrapperVertex(GraphVertex) - Constructor for class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
BasicGradientsAccumulator - Class in org.deeplearning4j.optimize.solvers.accumulation
This class provides accumulation for gradients for both input (i.e.
BasicGradientsAccumulator(int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
Creates new GradientsAccumulator with starting threshold of 1e-3
BasicGradientsAccumulator(int, MessageHandler) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
Creates new GradientsAccumulator with custom starting threshold
BasicInferenceObservable - Class in org.deeplearning4j.parallelism.inference.observers
This class holds reference input, and implements basic use case: SEQUENTIAL inference
BasicInferenceObservable(INDArray...) - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
BasicInferenceObservable(INDArray[], INDArray[]) - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
BasicInferenceObserver - Class in org.deeplearning4j.parallelism.inference.observers
Simple Observer implementation for sequential inference
BasicInferenceObserver() - Constructor for class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver
 
BasicLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
This is simple class, for building Sentence-Label pairs for ParagraphVectors/Doc2Vec.
BasicLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
 
BasicLineIterator - Class in org.deeplearning4j.text.sentenceiterator
Primitive single-line iterator, without any options involved.
BasicLineIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
BasicLineIterator(InputStream) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
BasicLineIterator(String) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
BasicModelUtils<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.reader.impl
Basic implementation for ModelUtils interface, suited for standalone use.
BasicModelUtils() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
BasicModelUtils.ArrayComparator - Class in org.deeplearning4j.models.embeddings.reader.impl
 
BasicModelUtils.SimilarityComparator - Class in org.deeplearning4j.models.embeddings.reader.impl
 
BasicModelUtils.WordSimilarity - Class in org.deeplearning4j.models.embeddings.reader.impl
 
BasicResultSetIterator - Class in org.deeplearning4j.text.sentenceiterator
Primitive iterator over a SQL ResultSet Please note: for reset functionality, the underlying JDBC ResultSet must not be of TYPE_FORWARD_ONLY To achieve this using postgres you can make your query using: connection.prepareStatement(sql,ResultSet.TYPE_SCROLL_INSENSITIVE,ResultSet.CONCUR_READ_ONLY); This class is designed in a similar fashion to org.deeplearning4j.text.sentenceiterator.BasicLineIterator
BasicResultSetIterator(ResultSet, String) - Constructor for class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
BasicTransformerIterator - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
 
BasicTransformerIterator(LabelAwareIterator, SentenceTransformer) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
batch() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Batch size
batch - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
batch - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
batch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
batch() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Batch size
batch() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
batch() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
batch() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
batch() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
batch - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
batch() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
batch() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
BatchAndExportDataSetsFunction - Class in org.deeplearning4j.spark.data
Function used with RDD<DataSet>.mapPartitionsWithIndex.
BatchAndExportDataSetsFunction(int, String) - Constructor for class org.deeplearning4j.spark.data.BatchAndExportDataSetsFunction
 
BatchAndExportMultiDataSetsFunction - Class in org.deeplearning4j.spark.data
Function used with RDD<MultiDataSet>.mapPartitionsWithIndex.
BatchAndExportMultiDataSetsFunction(int, String) - Constructor for class org.deeplearning4j.spark.data.BatchAndExportMultiDataSetsFunction
 
BatchDataSetsFunction - Class in org.deeplearning4j.spark.data
Function used to batch DataSet objects together.
BatchDataSetsFunction(int) - Constructor for class org.deeplearning4j.spark.data.BatchDataSetsFunction
 
batchedDS - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
BatchedInferenceObservable - Class in org.deeplearning4j.parallelism.inference.observers
This class holds reference input, and implements second use case: BATCHED inference
BatchedInferenceObservable() - Constructor for class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
batches - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
batches - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
batchesSupported() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
batchIter(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over batches
batchLimit(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method defines, how many input samples can be batched within given time frame.
batchNorm(int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
BatchNormalization - Class in org.deeplearning4j.nn.conf.layers
Batch normalization configuration
BatchNormalization - Class in org.deeplearning4j.nn.layers.normalization
Batch normalization layer.
BatchNormalization(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
BatchNormalization.Builder - Class in org.deeplearning4j.nn.conf.layers
 
BatchNormalizationHelper - Interface in org.deeplearning4j.nn.layers.normalization
Helper for the batch normalization layer.
BatchNormalizationParamInitializer - Class in org.deeplearning4j.nn.params
Batch normalization variable init
BatchNormalizationParamInitializer() - Constructor for class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
batchNormMode - Variable in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
batchNum - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
BatchRecord - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 1/21/17.
BatchRecord() - Constructor for class org.deeplearning4j.nearestneighbor.model.BatchRecord
 
batchSize - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
batchSize(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
batchSize - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
batchSize - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
batchSize - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
batchSize - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
batchSize(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
This parameter specifies batch size for each thread.
batchSize - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
batchSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Specifies minibatch size for training process.
batchSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines mini-batch size
batchSize - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
batchSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines batchSize option, viable only if iterations > 1
batchSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines mini-batch size
batchSize() - Method in interface org.deeplearning4j.nn.api.Model
The current inputs batch size
batchSize() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
batchSize() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
batchSize() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
batchSize() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
batchSize() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
batchSize() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
batchSize() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
The batch size for the optimizer
batchSize() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
batchSize() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
batchSize - Variable in class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
batchSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
batchSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies the size of mini-batch, used in single iteration during training
batchSize - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
batchSize() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
For word vectors, this is the batch size for which to train on
batchSizePerWorker - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
batchSizePerWorker - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
batchSizePerWorker - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
batchSizePerWorker(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Batch size (in number of examples) per worker, for each fit(DataSet) call.
batchSizePerWorker(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Batch size value, used for repartition purposes
beforeProcessor - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
begin(String) - Static method in class com.atilika.kuromoji.compile.ProgressLog
 
BEGIN - Static variable in class org.ansj.app.crf.Config
 
BEGIN - Static variable in class org.ansj.domain.AnsjItem
 
begin - Variable in class org.ansj.domain.PersonNatureAttr
 
BEGIN - Static variable in class org.ansj.domain.TermNature
 
BEGIN - Static variable in class org.ansj.domain.TermNatures
 
BenchmarkDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Dataset iterator for simulated inputs, or input derived from a DataSet example.
BenchmarkDataSetIterator(int[], int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
BenchmarkDataSetIterator(int[], int, int, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
BenchmarkDataSetIterator(DataSet, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
BenchmarkMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
MultiDataset iterator for simulated inputs, or input derived from a MultiDataSet example.
BenchmarkMultiDataSetIterator(int[][], int[], int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
BenchmarkMultiDataSetIterator(MultiDataSet, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
BernoulliReconstructionDistribution - Class in org.deeplearning4j.nn.conf.layers.variational
Bernoulli reconstruction distribution for variational autoencoder.
Outputs are modelled by a Bernoulli distribution - i.e., the Bernoulli distribution should be used for binary data (all values 0 or 1); the VAE models the probability of the output being 0 or 1.
Consequently, the sigmoid activation function should be used to bound activations to the range of 0 to 1.
BernoulliReconstructionDistribution() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
Create a BernoulliReconstructionDistribution with the default Sigmoid activation function
BernoulliReconstructionDistribution(String) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
BernoulliReconstructionDistribution(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
BernoulliReconstructionDistribution(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
bernoullis(double, double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will return the bernoulli trial for the given event.
BestScoreEpochTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Created by Sadat Anwar on 3/26/16.
BestScoreEpochTerminationCondition(double) - Constructor for class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
BestScoreEpochTerminationCondition(double, boolean) - Constructor for class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
beta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
beta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
beta(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
Used only when 'true' is passed to BatchNormalization.Builder.lockGammaBeta(boolean).
beta - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
beta(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
Scaling constant beta.
beta - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
BETA - Static variable in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
betaConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
BIAS_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
BIAS_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
BIAS_KEY_SUFFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
biasConstraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
biasConstraints - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
biasInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
biasInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
biasInit(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Bias initialization value, for layers with biases.
biasInit - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
biasInit(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Constant for bias initialization.
biasInit - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
biasInit(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Constant for bias initialization.
biasKeys(Layer) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Bias parameter keys given the layer configuration
biasKeys(Layer) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
biasKeys(Layer) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Gradient updater configuration, for the biases only.
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
biasUpdater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
Gradient updater configuration, for the biases only.
biasUpdater - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Gradient updater configuration, for the biases only.
biasUpdater - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
biasUpdater(IUpdater) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Gradient updater configuration, for the biases only.
Bidirectional - Class in org.deeplearning4j.nn.conf.layers.recurrent
Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.
Note that multiple different modes are supported - these specify how the activations should be combined from the forward and backward RNN networks.
Bidirectional(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
Create a Bidirectional wrapper, with the default Mode (CONCAT) for the specified layer
Bidirectional(Bidirectional.Mode, Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
Create a Bidirectional wrapper for the specified layer
BIDIRECTIONAL - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
Bidirectional.Builder - Class in org.deeplearning4j.nn.conf.layers.recurrent
 
Bidirectional.Mode - Enum in org.deeplearning4j.nn.conf.layers.recurrent
This Mode enumeration defines how the activations for the forward and backward networks should be combined.
ADD: out = forward + backward (elementwise addition)
MUL: out = forward * backward (elementwise multiplication)
AVERAGE: out = 0.5 * (forward + backward)
CONCAT: Concatenate the activations.
Where 'forward' is the activations for the forward RNN, and 'backward' is the activations for the backward RNN.
BidirectionalLayer - Class in org.deeplearning4j.nn.layers.recurrent
Bidirectional is a "wrapper" layer: it wraps any uni-directional RNN layer to make it bidirectional.
Note that multiple different modes are supported - these specify how the activations should be combined from the forward and backward RNN networks.
BidirectionalLayer(NeuralNetConfiguration, RecurrentLayer, RecurrentLayer) - Constructor for class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
BidirectionalParamInitializer - Class in org.deeplearning4j.nn.params
Parameter initializer for bidirectional wrapper layer
BidirectionalParamInitializer(Bidirectional) - Constructor for class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
bigramEntryMap - Variable in class org.ansj.domain.AnsjItem
 
binarize - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
BinarizeTreeTransformer - Class in org.deeplearning4j.text.corpora.treeparser
Binarizes trees.
BinarizeTreeTransformer() - Constructor for class org.deeplearning4j.text.corpora.treeparser.BinarizeTreeTransformer
 
BinaryClassificationResult - Class in org.deeplearning4j.nn.simple.binary
Created by agibsonccc on 4/28/17.
BinaryClassificationResult() - Constructor for class org.deeplearning4j.nn.simple.binary.BinaryClassificationResult
 
BinaryCoOccurrenceReader<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
Binary implementation of CoOccurenceReader interface, used to provide off-memory storage for cooccurrence maps generated for GloVe
BinaryCoOccurrenceReader(File, VocabCache<T>, CountMap<T>) - Constructor for class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
BinaryCoOccurrenceWriter<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
 
BinaryCoOccurrenceWriter(File) - Constructor for class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
 
binaryDecisionThreshold - Variable in class org.deeplearning4j.eval.Evaluation
 
binaryPositiveClass - Variable in class org.deeplearning4j.eval.Evaluation
 
BinaryReader(File) - Constructor for class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
BinaryTree - Interface in org.deeplearning4j.graph.models
Binary tree interface, used in DeepWalk
BinaryTree - Interface in org.deeplearning4j.models.sequencevectors.graph.huffman
Binary tree interface, used in DeepWalk
binCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCount(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
binCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
binomial(RandomGenerator, int, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a binomial distributed number using the given rng
BinomialDistribution - Class in org.deeplearning4j.nn.conf.distribution
A binomial distribution.
BinomialDistribution(int, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
Create a distribution
BinomialSamplingPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
Binomial sampling pre processor
BinomialSamplingPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.BinomialSamplingPreProcessor
 
bitmapMode - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
BlindInferenceCallable(VocabCache<VocabWord>, TokenizerFactory, String) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
 
BlindInferenceCallable(VocabCache<VocabWord>, TokenizerFactory, String, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
BLOCK_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
BlockingObserver - Class in org.deeplearning4j.spark.parameterserver.util
 
BlockingObserver() - Constructor for class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
 
blockLength() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLength(int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLength() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLength(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
blockLengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
blocks - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
blocks - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
blocks(int[]) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
blocks(int) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
blockSize - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
blockSize - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
blockTillAllRunning() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
blockUntilDepleted() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
This method blocks until underlying Iterator is depleted
blockUntilFinished() - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
blowupBoxes() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
BookRecognition - Class in org.ansj.recognition.impl
基于规则的新词发现 jijiang feidiao
BookRecognition() - Constructor for class org.ansj.recognition.impl.BookRecognition
 
borderWidth(int) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
boundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
boundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
boundary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
boundingBoxPriors(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Bounding box priors dimensions [width, height].
broadcastConfiguration - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
broadcastEnvironment(JavaSparkContext) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
broadcastGradients(SharedGradient) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
This method will propagate gradients across all workers
broadcastModel - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
broadcastUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
broadcastUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
broadcastUpdates(INDArray) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.MessageHandler
This method does broadcast of given update message across network
bucket(INDArray) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the set of all vectors that could approximately be considered negihbors of the query, without selection on the basis of distance or number of neighbors.
bucket(INDArray) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
BucketIterator - Class in org.deeplearning4j.aws.s3.reader
Iterator over individual S3 bucket
BucketIterator(String) - Constructor for class org.deeplearning4j.aws.s3.reader.BucketIterator
 
BucketIterator(String, S3Downloader) - Constructor for class org.deeplearning4j.aws.s3.reader.BucketIterator
 
BucketKeyListener - Interface in org.deeplearning4j.aws.s3.reader
When paginating through a result applyTransformToDestination, allows the user to react to a bucket result being found
buckets() - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Returns the list of buckets in s3
buffer - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
buffer - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
buffer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
buffer - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.data.PathToDataSetFunction
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.data.PathToMultiDataSetFunction
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.util.data.validation.ValidateDataSetFn
 
BUFFER_SIZE - Static variable in class org.deeplearning4j.spark.util.data.validation.ValidateMultiDataSetFn
 
bufferEntries - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
BufferEntry - Class in com.atilika.kuromoji.buffer
 
BufferEntry() - Constructor for class com.atilika.kuromoji.buffer.BufferEntry
 
bufferSize - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
This value **overrides** bufferSize calculations for gradients accumulator
bufferSize - Variable in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
bufferSizePerDevice - Variable in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
build(String, String, String, boolean) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
build(String[]) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
build(List<String>, boolean) - Static method in class com.atilika.kuromoji.compile.DoubleArrayTrieCompiler
 
build() - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
build() - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Creates the custom tokenizer instance
build() - Method in class com.atilika.kuromoji.TokenizerBase.Builder
Creates a Tokenizer instance defined by this Builder
build(Trie) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
Construct double array trie which is equivalent to input trie
build(String) - Method in class com.atilika.kuromoji.viterbi.ViterbiBuilder
Build lattice from input text
build() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
Creates an EMR Spark cluster deployment
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Create the RecordReaderMultiDataSetIterator
build() - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
 
build() - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
build() - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Create the early stopping configuration
build() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
 
build() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
 
build() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
build() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
build() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
build() - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
build() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
This method returns you new GraphWalker instance
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method builds PopularityWalker object with previously specified params
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method builds RandomWalker instance
build() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
 
build() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator.Builder
Builds SequenceIterator
build() - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
This method returns new SerializingListener instance
build() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Build SequenceVectors instance with defined settings/options
build() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
build() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.Huffman
 
build() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
This method returns Static Word2Vec implementation, which is suitable for tasks like neural nets feeding.
build() - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
build() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Create the ComputationGraphConfiguration from the Builder pattern
build() - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.LSTM.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
build() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Return a configuration based on this builder
build() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
Build the multi layer network based on this neural network and overr ridden parameters
build() - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
build() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
build() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Returns a model with the fine tune configuration and specified architecture changes.
build() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Returns a computation graph build to specifications.
build() - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
 
build() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
 
build() - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method returns configured PerformanceListener instance
build() - Method in class org.deeplearning4j.optimize.Solver.Builder
 
build() - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
build() - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method builds new ParallelInference instance
build() - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method returns ParallelWrapper instance
build() - Method in class org.deeplearning4j.perf.listener.SystemPolling.Builder
 
build() - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
build() - Method in class org.deeplearning4j.plot.Tsne.Builder
 
build() - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
build(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
build() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
build() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
build() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
build() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
build() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
build() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
build() - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
This method returns you SparkWord2Vec instance ready for training
build() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
build() - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
build() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
 
build() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
 
build() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
build() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
build() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
build() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartLine.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
 
build() - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
build() - Method in class org.deeplearning4j.ui.components.component.style.StyleDiv.Builder
 
build() - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
build() - Method in class org.deeplearning4j.ui.components.decorator.style.StyleAccordion.Builder
 
build() - Method in class org.deeplearning4j.ui.components.table.ComponentTable.Builder
 
build() - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
build() - Method in class org.deeplearning4j.ui.components.text.ComponentText.Builder
 
build() - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
 
build() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
build() - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
build() - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
build() - Method in class org.deeplearning4j.ui.weights.HistogramBin.Builder
Returns ready-to-use Histogram instance
buildCumSum() - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
Builder() - Constructor for class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
Builder() - Constructor for class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Creates a default builder
Builder() - Constructor for class com.atilika.kuromoji.TokenizerBase.Builder
 
Builder() - Constructor for class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
Builder - Class in org.deeplearning4j.bagofwords.vectorizer
Deprecated.
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
Builder() - Constructor for class org.deeplearning4j.BasePipeline.Builder
 
Builder(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor.Builder
 
Builder() - Constructor for class org.deeplearning4j.datasets.iterator.CombinedPreProcessor.Builder
 
Builder(InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
Builder(List<DataSetIterator>, InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
 
Builder() - Constructor for class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.glove.Glove.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.glove.Glove.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
Builder(GraphWalker<V>, VectorsConfiguration) - Constructor for class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
Builder(IGraph<V, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
 
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
Builder constructor for RandomWalker
Builder(IGraph<T, ? extends Number>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
 
Builder(Iterable<Sequence<T>>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator.Builder
Builds AbstractSequenceIterator on top of Iterable object
Builder(ListenerEvent, int) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
Builder(GraphWalker<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
Builder(IGraph<T, ?>) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
Builder(AbstractStorage<Integer>, VocabCache<VocabWord>) - Constructor for class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
Builder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.ActivationLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
Builder(double) - Constructor for class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
Builder(double, boolean) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(double, double) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(double, double, boolean) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(boolean) - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int, int, int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.DenseLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
Builder(double) - Constructor for class org.deeplearning4j.nn.conf.layers.DropoutLayer.Builder
 
Builder(IDropout) - Constructor for class org.deeplearning4j.nn.conf.layers.DropoutLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.EmbeddingLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.GravesLSTM.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
Builder(double, double, double) - Constructor for class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.LSTM.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.OutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.OutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
Builder(LossFunctions.LossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
Builder(ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.RnnOutputLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
Builder(int[], int[][]) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
Builder(int, SpaceToDepthLayer.DataFormat) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(PoolingType, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(PoolingType, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(Subsampling3DLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(SubsamplingLayer.PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(PoolingType, int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(PoolingType, int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int[], int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int...) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(SubsamplingLayer.PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling1D.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling2D.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling3D.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
 
Builder(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
Use same padding for left and right boundaries in depth, height and width.
Builder(int, int, int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
Explicit padding of left and right boundaries in depth, height and width dimensions
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer.Builder
 
Builder(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
Builder(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
Builder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer.Builder
 
Builder(String, Class<?>, InputType, InputType) - Constructor for class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
Builder(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
builder() - Static method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
Builder() - Constructor for class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
Builder(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Multilayer Network to tweak for transfer learning
builder() - Static method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
Builder() - Constructor for class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
 
Builder(String) - Constructor for class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
 
Builder(File) - Constructor for class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
 
Builder() - Constructor for class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
 
Builder() - Constructor for class org.deeplearning4j.optimize.Solver.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This
Builder() - Constructor for class org.deeplearning4j.parallelism.MagicQueue.Builder
Deprecated.
 
Builder(Model) - Constructor for class org.deeplearning4j.parallelism.ParallelInference.Builder
 
Builder(T) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Build ParallelWrapper for MultiLayerNetwork
Builder() - Constructor for class org.deeplearning4j.perf.listener.SystemPolling.Builder
 
Builder() - Constructor for class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
Builder() - Constructor for class org.deeplearning4j.plot.Tsne.Builder
 
Builder() - Constructor for class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Same as #Builder(Integer, int) but automatically set number of workers based on JavaSparkContext.defaultParallelism()
Builder(Integer, int) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Create a builder, where the following number of workers (Spark executors * number of threads per executor) are being used.
Note: this should match the configuration of the cluster.
Builder() - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
Builder() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Creates Builder instance with default parameters set.
Builder(VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Uses VectorsConfiguration bean to initialize Word2Vec model parameters
Builder() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
Builder() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
Deprecated.
Builder(VoidConfiguration) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
Builder(VoidConfiguration, VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
Builder() - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
Deprecated.
Builder(VoidConfiguration) - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
Builder(VoidConfiguration, VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
Builder(int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(VoidConfiguration, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(double, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(VoidConfiguration, double, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder(VoidConfiguration, Integer, double, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
Builder() - Constructor for class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
This method should stay protected, since it's only viable for testing purposes
Builder(SentenceIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each sentence in this iterator is separate document/paragraph
Builder(DocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each inputStream in this iterator is separate document/paragraph
Builder(LabelAwareSentenceIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each sentence in this iterator is separate document/paragraph.
Builder(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
We assume that each inputStream in this iterator is separate document/paragraph Labels will be converted into LabelledDocument format
Builder(LabelAwareIterator) - Constructor for class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator.Builder
 
Builder(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
Builder(InputStream) - Constructor for class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
Builder(DocumentIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.api.Style.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.Chart.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartHistogram.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartLine.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartScatter.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
 
Builder(String, StyleChart) - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.component.style.StyleDiv.Builder
 
Builder(StyleAccordion) - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
Builder(String, StyleAccordion) - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.decorator.style.StyleAccordion.Builder
 
Builder(StyleTable) - Constructor for class org.deeplearning4j.ui.components.table.ComponentTable.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
Builder(String, StyleText) - Constructor for class org.deeplearning4j.ui.components.text.ComponentText.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.components.text.style.StyleText.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
Builder(File) - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
Builder() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
Builder(INDArray) - Constructor for class org.deeplearning4j.ui.weights.HistogramBin.Builder
Build Histogram Builder instance for specified array
buildExtendedLookupTable() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
Placeholder for future implementation
buildExtendedVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
Placeholder for future implementation
buildFromData(List<DataPoint>) - Static method in class org.deeplearning4j.clustering.vptree.VPTree
Create an ndarray from the datapoints
buildGraphInfo(MultiLayerConfiguration) - Static method in class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
buildGraphInfo(ComputationGraphConfiguration) - Static method in class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
buildGraphInfo(NeuralNetConfiguration) - Static method in class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
buildJointVocabulary(boolean, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method scans all sources passed through builder, and returns all words as vocab.
buildMergedVocabulary(WordVectors, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method transfers existing WordVectors model into current one
buildMergedVocabulary(VocabCache<T>, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method transfers existing vocabulary into current one Please note: this method expects source vocabulary has Huffman tree indexes applied
buildModel() - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
buildNetworkSnapshot() - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
 
buildNode(List<Byte>, List<Integer>, int, int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
buildSequential() - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
buildShallowVocabCache(Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
This method builds shadow vocabulary and huffman tree
buildTree(INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
Build the tree with the given input data
buildTree(RPTree, RPNode, RPHyperPlanes, INDArray, int, int, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Initialize the tree given the input parameters
buildTree(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
Build the Huffman tree given an array of vertex degrees
buildTree(int[]) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
Build the Huffman tree given an array of vertex degrees
buildTree(TreebankNode, Pair<String, MultiDimensionalMap<Integer, Integer, String>>, List<String>) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Builds a tree recursively adding the children as necessary
buildTree(TreebankNode) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Builds a tree recursively adding the children as necessary
buildUnknownWordDictionary(String, String, String) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
buildVocab() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
buildVocab() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
Builds vocabulary from provided SequenceIterator instance
buildVocabCache() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
buildVocabWordListRDD() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
bypassMode - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
bypassMode - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
bypassMode - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
bypassMode(boolean) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
ByteBufferIO - Class in com.atilika.kuromoji.io
 
ByteBufferIO() - Constructor for class com.atilika.kuromoji.io.ByteBufferIO
 
bytes() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
bytes(byte) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
bytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
bytes(byte) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
bytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
bytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
bytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
bytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
bytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
bytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
bytesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
bytesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
bytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
bytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
bytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
bytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
bytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
bytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
bytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
bytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 

C

c3x3reduce(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
c5x5reduce(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
cache - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
cache(VocabCache) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
cache(VocabCache<T>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
cache(VocabCache<T>) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
cache - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
CACHE_MODE_ALL_ZEROS - Static variable in class org.deeplearning4j.nn.conf.memory.MemoryReport
A simple Map containing all zeros for each CacheMode key
CacheableExtractableDataSetFetcher - Class in org.deeplearning4j.datasets.fetchers
Abstract class for enabling dataset downloading and local caching.
CacheableExtractableDataSetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
cachedFwdPass - Variable in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
cachedFwdPass - Variable in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
cachedPassBackward - Variable in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
cachedPassForward - Variable in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
cacheMemory(long, long) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Reports the cached/cacheable memory requirements.
cacheMemory(Map<CacheMode, Long>, Map<CacheMode, Long>) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Reports the cached/cacheable memory requirements.
CacheMode - Enum in org.deeplearning4j.nn.conf
 
cacheMode - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
cacheMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
cacheMode(CacheMode) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
This method defines how/if preOutput cache is handled: NONE: cache disabled (default value) HOST: Host memory will be used DEVICE: GPU memory will be used (on CPU backends effect will be the same as for HOST)
cacheMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
cacheMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
cacheMode(CacheMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
This method defines how/if preOutput cache is handled: NONE: cache disabled (default value) HOST: Host memory will be used DEVICE: GPU memory will be used (on CPU backends effect will be the same as for HOST)
cacheMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
cacheMode - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
cacheMode - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
cacheModeMapFor(long) - Static method in class org.deeplearning4j.nn.conf.memory.MemoryReport
Get a map of CacheMode with all keys associated with the specified value
calcBackpropGradients(boolean, boolean, INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Do backprop (gradient calculation)
calcBackpropGradients(INDArray, boolean, boolean, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate gradients and errors.
calcDistancesRelativeTo(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.clustering.vptree.VPTree
 
calcDistancesRelativeTo(INDArray, INDArray) - Method in class org.deeplearning4j.clustering.vptree.VPTree
 
calcL1(boolean) - Method in interface org.deeplearning4j.nn.api.Layer
Calculate the l1 regularization term
0.0 if regularization is not used.
calcL1() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the L1 regularization term for all layers in the entire network.
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
calcL1(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
calcL2(boolean) - Method in interface org.deeplearning4j.nn.api.Layer
Calculate the l2 regularization term
0.0 if regularization is not used.
calcL2() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the L2 regularization term for all layers in the entire network.
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
calcL2(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
calculate(INDArray, int, double) - Method in class org.deeplearning4j.plot.Tsne
 
calculateArea() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
calculateArea(double[], double[]) - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
calculateAUC() - Method in class org.deeplearning4j.eval.curves.RocCurve
Calculate and return the area under ROC curve
calculateAUC() - Method in class org.deeplearning4j.eval.ROC
Calculate the AUROC - Area Under ROC Curve
Utilizes trapezoidal integration internally
calculateAUC(int) - Method in class org.deeplearning4j.eval.ROCBinary
Calculate the AUC - Area Under (ROC) Curve
Utilizes trapezoidal integration internally
calculateAUC(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
Calculate the AUC - Area Under ROC Curve
Utilizes trapezoidal integration internally
calculateAUCPR() - Method in class org.deeplearning4j.eval.ROC
Calculate the area under the precision/recall curve - aka AUCPR
calculateAUCPR(int) - Method in class org.deeplearning4j.eval.ROCBinary
Calculate the AUCPR - Area Under Curve - Precision Recall
Utilizes trapezoidal integration internally
calculateAUCPR(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
Calculate the AUPRC - Area Under Curve Precision Recall
Utilizes trapezoidal integration internally
calculateAUPRC() - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
calculateAverageAuc() - Method in class org.deeplearning4j.eval.ROCBinary
Macro-average AUC for all outcomes
calculateAverageAUC() - Method in class org.deeplearning4j.eval.ROCMultiClass
Calculate the macro-average (one-vs-all) AUC for all classes
calculateAverageAUCPR() - Method in class org.deeplearning4j.eval.ROCBinary
 
calculateAverageAUCPR() - Method in class org.deeplearning4j.eval.ROCMultiClass
Calculate the macro-average (one-vs-all) AUCPR (area under precision recall curve) for all classes
calculateGradients(INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate parameter gradients and input activation gradients given the input and labels
calculateIndices() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the indices needed for the network:
(a) topological sort order
(b) Map: vertex index -> vertex name
(c) Map: vertex name -> vertex index
calculateProb(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
Calculate the probability of the second vertex given the first vertex i.e., P(v_second | v_first)
calculateScore(T) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
calculateScore(T) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
calculateScore(ComputationGraph) - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
 
calculateScore(T) - Method in interface org.deeplearning4j.earlystopping.scorecalc.ScoreCalculator
Calculate the score for the given MultiLayerNetwork
calculateScore(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
Calculate score.
calculateScore(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.earlystopping.SparkDataSetLossCalculator
 
calculateScore(ComputationGraph) - Method in class org.deeplearning4j.spark.earlystopping.SparkLossCalculatorComputationGraph
 
calculateScore(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Calculate the score for all examples in the provided JavaRDD<DataSet>, either by summing or averaging over the entire data set.
calculateScore(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Calculate the score for all examples in the provided JavaRDD<DataSet>, either by summing or averaging over the entire data set.
calculateScore(RDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Overload of SparkDl4jMultiLayer.calculateScore(JavaRDD, boolean) for RDD<DataSet> instead of JavaRDD<DataSet>
calculateScore(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Calculate the score for all examples in the provided JavaRDD<DataSet>, either by summing or averaging over the entire data set.
calculateScore(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Calculate the score for all examples in the provided JavaRDD<DataSet>, either by summing or averaging over the entire data set.
calculateScoreMultiDataSet(JavaRDD<MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Calculate the score for all examples in the provided JavaRDD<MultiDataSet>, either by summing or averaging over the entire data set.
calculateScoreMultiDataSet(JavaRDD<MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Calculate the score for all examples in the provided JavaRDD<MultiDataSet>, either by summing or averaging over the entire data set.
call() - Method in class org.deeplearning4j.clustering.vptree.VPTree.NodeBuilder
 
call(DataSet) - Method in interface org.deeplearning4j.datasets.iterator.callbacks.DataSetCallback
 
call(MultiDataSet) - Method in interface org.deeplearning4j.datasets.iterator.callbacks.DataSetCallback
 
call(File) - Method in class org.deeplearning4j.datasets.iterator.callbacks.DataSetDeserializer
 
call(DataSet) - Method in class org.deeplearning4j.datasets.iterator.callbacks.DefaultCallback
 
call(MultiDataSet) - Method in class org.deeplearning4j.datasets.iterator.callbacks.DefaultCallback
 
call(File) - Method in interface org.deeplearning4j.datasets.iterator.callbacks.FileCallback
 
call(DataSet) - Method in class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
call(MultiDataSet) - Method in class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
call() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.BlindInferenceCallable
 
call() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
 
call(EvaluativeListener, Model, long, IEvaluation[]) - Method in interface org.deeplearning4j.optimize.listeners.callbacks.EvaluationCallback
 
call(EvaluativeListener, Model, long, IEvaluation[]) - Method in class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
 
call(Integer, Iterator<DataSet>) - Method in class org.deeplearning4j.spark.data.BatchAndExportDataSetsFunction
 
call(Integer, Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.data.BatchAndExportMultiDataSetsFunction
 
call(Iterator<DataSet>) - Method in class org.deeplearning4j.spark.data.DataSetExportFunction
 
call(Iterator<MultiDataSet>) - Method in class org.deeplearning4j.spark.data.MultiDataSetExportFunction
 
call(String) - Method in class org.deeplearning4j.spark.data.PathToDataSetFunction
 
call(String) - Method in class org.deeplearning4j.spark.data.PathToMultiDataSetFunction
 
call(Tuple2<Text, BytesWritable>) - Method in class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
call(List<Writable>) - Method in class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
call(List<List<Writable>>) - Method in class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
 
call(Tuple2<List<List<Writable>>, List<List<Writable>>>) - Method in class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
 
call(Iterator<String>) - Method in class org.deeplearning4j.spark.datavec.export.StringToDataSetExportFunction
 
call(DataVecRecords) - Method in class org.deeplearning4j.spark.datavec.iterator.RRMDSIFunction
 
call(String) - Method in class org.deeplearning4j.spark.datavec.RecordReaderFunction
 
call(INDArray, INDArray) - Method in class org.deeplearning4j.spark.impl.common.Add
 
call(Integer, Iterator<T>) - Method in class org.deeplearning4j.spark.impl.common.CountPartitionsFunction
 
call(PortableDataStream) - Method in class org.deeplearning4j.spark.impl.common.LoadSerializedDataSetFunction
 
call(Tuple2<Integer, Double>, Tuple2<Integer, Double>) - Method in class org.deeplearning4j.spark.impl.common.reduce.IntDoubleReduceFunction
 
call(Integer, Iterator<T>) - Method in class org.deeplearning4j.spark.impl.common.repartition.AssignIndexFunction
Deprecated.
 
call(Iterator<Tuple2<K, INDArray>>) - Method in class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
call(Integer, Iterator<T>) - Method in class org.deeplearning4j.spark.impl.common.SplitPartitionsFunction
 
call(Integer, Iterator<Tuple2<T, U>>) - Method in class org.deeplearning4j.spark.impl.common.SplitPartitionsFunction2
 
call(DataSet) - Method in class org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn
 
call(Tuple2<K, DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.dataset.PairDataSetToMultiDataSetFn
 
call(Tuple2<K, INDArray[]>) - Method in class org.deeplearning4j.spark.impl.graph.scoring.ArrayPairToPair
 
call(Tuple2<K, INDArray>) - Method in class org.deeplearning4j.spark.impl.graph.scoring.PairToArrayPair
 
call(T[], T[]) - Method in class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateAggregateFunction
 
call(T[], T[]) - Method in class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluationReduceFunction
 
call(Tuple2<T, INDArray>) - Method in class org.deeplearning4j.spark.impl.multilayer.scoring.SingleToPairFunction
 
call(ParameterAveragingAggregationTuple, ParameterAveragingTrainingResult) - Method in class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingElementAddFunction
 
call(ParameterAveragingAggregationTuple, ParameterAveragingAggregationTuple) - Method in class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingElementCombineFunction
 
call(Pair<List<String>, AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.cooccurrences.CoOccurrenceCalculator
 
call(CounterMap<String, String>, CounterMap<String, String>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.cooccurrences.CoOccurrenceCounts
 
call(Triple<VocabWord, VocabWord, Double>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
call(Triple<String, String, Double>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.VocabWordPairs
 
call(Iterator<Tuple2<List<VocabWord>, Long>>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
 
call(Map.Entry<VocabWord, INDArray>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.MapToPairFunction
 
call(Word2VecFuncCall) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
 
call(Pair<List<VocabWord>, AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
 
call(Pair<List<VocabWord>, AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
call(Tuple2<List<VocabWord>, Long>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecSetup
Deprecated.
 
call(LabelledDocument) - Method in class org.deeplearning4j.spark.models.paragraphvectors.functions.DocumentSequenceConvertFunction
 
call(Tuple2<String, String>) - Method in class org.deeplearning4j.spark.models.paragraphvectors.functions.KeySequenceConvertFunction
 
call(Sequence<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
call(T) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
call(T) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExportFunction
 
call(Sequence<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
 
call(List<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ListSequenceConvertFunction
 
call(Iterator<Sequence<T>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
call(String) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.TokenizerFunction
 
call(Sequence<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
call(SharedTrainingAccumulationTuple, SharedTrainingAccumulationTuple) - Method in class org.deeplearning4j.spark.parameterserver.accumulation.SharedTrainingAccumulationFunction
 
call(SharedTrainingAccumulationTuple, SharedTrainingResult) - Method in class org.deeplearning4j.spark.parameterserver.accumulation.SharedTrainingAggregateFunction
 
call(Integer, Iterator<AtomicLong>) - Method in class org.deeplearning4j.spark.text.functions.FoldBetweenPartitionFunction
 
call(Integer, Iterator<AtomicLong>) - Method in class org.deeplearning4j.spark.text.functions.FoldWithinPartitionFunction
 
call(Pair<List<String>, AtomicLong>) - Method in class org.deeplearning4j.spark.text.functions.GetSentenceCountFunction
 
call(Iterator<?>) - Method in class org.deeplearning4j.spark.text.functions.MapPerPartitionVoidFunction
 
call(AtomicLong, AtomicLong) - Method in class org.deeplearning4j.spark.text.functions.ReduceSentenceCount
 
call(String) - Method in class org.deeplearning4j.spark.text.functions.TokenizerFunction
 
call(List<String>) - Method in class org.deeplearning4j.spark.text.functions.UpdateWordFreqAccumulatorFunction
 
call(Pair<List<String>, AtomicLong>) - Method in class org.deeplearning4j.spark.text.functions.WordsListToVocabWordsFunction
 
call(T) - Method in class org.deeplearning4j.spark.util.BaseDoubleFlatMapFunctionAdaptee
 
call(T) - Method in class org.deeplearning4j.spark.util.BasePairFlatMapFunctionAdaptee
 
call(String) - Method in class org.deeplearning4j.spark.util.data.validation.ValidateDataSetFn
 
call(String) - Method in class org.deeplearning4j.spark.util.data.validation.ValidateMultiDataSetFn
 
call(ValidationResult, ValidationResult) - Method in class org.deeplearning4j.spark.util.data.validation.ValidationResultReduceFn
 
callback - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
callback - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
callback - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
This callback will be invoked after evaluation finished
callback - Variable in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
callback - Variable in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
camelContext(CamelContext) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
CamelKafkaRouteBuilder - Class in org.deeplearning4j.streaming.routes
A Camel Java DSL Router
CamelKafkaRouteBuilder() - Constructor for class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder
 
CamelKafkaRouteBuilder.Builder - Class in org.deeplearning4j.streaming.routes
 
candidates - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
canDoBackward() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
canDoBackward() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
canDoBackward() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Whether the GraphVertex can do backward pass.
canDoBackward() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
canDoForward() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
canDoForward() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
canDoForward() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Whether the GraphVertex can do forward pass.
capacity - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
categoryMap - Variable in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
CBOW<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
CBOW implementation for DeepLearning4j
CBOW() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
cbow(int, List<T>, int, AtomicLong, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
Cell - Class in org.deeplearning4j.clustering.quadtree
A cell representing a bounding box forthe quad tree
Cell(double, double, double, double) - Constructor for class org.deeplearning4j.clustering.quadtree.Cell
 
Cell - Class in org.deeplearning4j.clustering.sptree
 
Cell(int) - Constructor for class org.deeplearning4j.clustering.sptree.Cell
 
CENTER_KEY - Static variable in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
CenterLossOutputLayer - Class in org.deeplearning4j.nn.conf.layers
Center loss is similar to triplet loss except that it enforces intraclass consistency and doesn't require feed forward of multiple examples.
CenterLossOutputLayer(CenterLossOutputLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
CenterLossOutputLayer - Class in org.deeplearning4j.nn.layers.training
Center loss is similar to triplet loss except that it enforces intraclass consistency and doesn't require feed forward of multiple examples.
CenterLossOutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
CenterLossOutputLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
CenterLossOutputLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
CenterLossParamInitializer - Class in org.deeplearning4j.nn.params
Initialize Center Loss params.
CenterLossParamInitializer() - Constructor for class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
CGVaeReconstructionErrorWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to calculate the reconstruction error for a variational autoencoder, that is the first layer in a ComputationGraph.
Note that the VAE must be using a loss function, not a ReconstructionDistribution
Also note that scoring is batched for computational efficiency.
CGVaeReconstructionErrorWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.CGVaeReconstructionErrorWithKeyFunction
 
CGVaeReconstructionProbWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to calculate the reconstruction probability for a variational autoencoder, that is the first layer in a ComputationGraph.
Note that scoring is batched for computational efficiency.
CGVaeReconstructionProbWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.CGVaeReconstructionProbWithKeyFunction
 
CHANNELS - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
CHARACTER_DEFINITIONS_FILENAME - Static variable in class com.atilika.kuromoji.dict.CharacterDefinitions
 
CharacterDefinitions - Class in com.atilika.kuromoji.dict
 
CharacterDefinitions(int[][], int[][], String[]) - Constructor for class com.atilika.kuromoji.dict.CharacterDefinitions
 
characterDefinitions - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
CharacterDefinitionsCompiler - Class in com.atilika.kuromoji.compile
 
CharacterDefinitionsCompiler(OutputStream) - Constructor for class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
chars - Variable in class org.ansj.splitWord.impl.GetWordsImpl
 
chars - Variable in class org.ansj.util.Graph
 
Chart - Class in org.deeplearning4j.ui.components.chart
Abstract class for charts
Chart(String) - Constructor for class org.deeplearning4j.ui.components.chart.Chart
 
Chart(String, Chart.Builder) - Constructor for class org.deeplearning4j.ui.components.chart.Chart
 
Chart.Builder<T extends Chart.Builder<T>> - Class in org.deeplearning4j.ui.components.chart
 
CHART_MAX_POINTS_PROPERTY - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
 
ChartHistogram - Class in org.deeplearning4j.ui.components.chart
Histogram chart, with pre-binned values.
ChartHistogram(ChartHistogram.Builder) - Constructor for class org.deeplearning4j.ui.components.chart.ChartHistogram
 
ChartHistogram() - Constructor for class org.deeplearning4j.ui.components.chart.ChartHistogram
 
ChartHistogram.Builder - Class in org.deeplearning4j.ui.components.chart
 
ChartHorizontalBar - Class in org.deeplearning4j.ui.components.chart
 
ChartHorizontalBar() - Constructor for class org.deeplearning4j.ui.components.chart.ChartHorizontalBar
 
ChartHorizontalBar.Builder - Class in org.deeplearning4j.ui.components.chart
 
ChartLine - Class in org.deeplearning4j.ui.components.chart
Line chart with multiple independent series
ChartLine() - Constructor for class org.deeplearning4j.ui.components.chart.ChartLine
 
ChartLine.Builder - Class in org.deeplearning4j.ui.components.chart
 
ChartScatter - Class in org.deeplearning4j.ui.components.chart
Scatter chart
ChartScatter() - Constructor for class org.deeplearning4j.ui.components.chart.ChartScatter
 
ChartScatter.Builder - Class in org.deeplearning4j.ui.components.chart
 
ChartStackedArea - Class in org.deeplearning4j.ui.components.chart
Stacked area chart (no normalization), with multiple series.
ChartStackedArea() - Constructor for class org.deeplearning4j.ui.components.chart.ChartStackedArea
 
ChartStackedArea(ChartStackedArea.Builder) - Constructor for class org.deeplearning4j.ui.components.chart.ChartStackedArea
 
ChartStackedArea.Builder - Class in org.deeplearning4j.ui.components.chart
 
ChartTimeline - Class in org.deeplearning4j.ui.components.chart
A timeline/swimlane chart with zoom/scroll functionality.
ChartTimeline() - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline
 
ChartTimeline.Builder - Class in org.deeplearning4j.ui.components.chart
 
ChartTimeline.TimelineEntry - Class in org.deeplearning4j.ui.components.chart
 
checkCuda(int) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
checkCudnn(int) - Static method in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
checkForUnsupportedConfigurations(Map<String, Object>, boolean, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Checks whether layer config contains unsupported options.
checkGradients(MultiLayerNetwork, double, double, double, boolean, boolean, INDArray, INDArray) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
Check backprop gradients for a MultiLayerNetwork.
checkGradients(MultiLayerNetwork, double, double, double, boolean, boolean, INDArray, INDArray, INDArray, INDArray) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
 
checkGradients(MultiLayerNetwork, double, double, double, boolean, boolean, INDArray, INDArray, INDArray, INDArray, boolean, int) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
 
checkGradients(MultiLayerNetwork, double, double, double, boolean, boolean, INDArray, INDArray, INDArray, INDArray, boolean, int, Set<String>) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
 
checkGradients(ComputationGraph, double, double, double, boolean, boolean, INDArray[], INDArray[]) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
Check backprop gradients for a ComputationGraph
checkGradients(ComputationGraph, double, double, double, boolean, boolean, INDArray[], INDArray[], INDArray[], INDArray[]) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
 
checkGradients(ComputationGraph, double, double, double, boolean, boolean, INDArray[], INDArray[], INDArray[], INDArray[], Set<String>) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
 
checkGradientsPretrainLayer(Layer, double, double, double, boolean, boolean, INDArray, int) - Static method in class org.deeplearning4j.gradientcheck.GradientCheckUtil
Check backprop gradients for a pretrain layer NOTE: gradient checking pretrain layers can be difficult...
checkKryoConfiguration(JavaSparkContext, Logger) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Check the spark configuration for incorrect Kryo configuration, logging a warning message if necessary
checkModel(String) - Method in class org.ansj.app.crf.Model
判断当前数据流是否是本实例
checkModel(String) - Method in class org.ansj.app.crf.model.CRFModel
 
checkModel(String) - Method in class org.ansj.app.crf.model.CRFppTxtModel
 
checkModel(String) - Method in class org.ansj.app.crf.model.WapitiCRFModel
 
checkOutputException() - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
Checkpoint - Class in org.deeplearning4j.optimize.listeners.checkpoint
A model checkpoint, used with CheckpointListener
Checkpoint() - Constructor for class org.deeplearning4j.optimize.listeners.checkpoint.Checkpoint
 
CheckpointListener - Class in org.deeplearning4j.optimize.listeners.checkpoint
CheckpointListener: The goal of this listener is to periodically save a copy of the model during training..
Model saving may be done:
1.
CheckpointListener.Builder - Class in org.deeplearning4j.optimize.listeners.checkpoint
 
checkStorageEvents(Persistable) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
checkStorageEvents(Persistable) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
CHECKSUM_TEST_FEATURES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
CHECKSUM_TEST_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
CHECKSUM_TRAIN_FEATURES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
CHECKSUM_TRAIN_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
CHECKSUMS_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
CHECKSUMS_TRAIN - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
checkSupported() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
checkSupported() - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
 
checkSupported() - Method in interface org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingHelper
 
checkSupported(double) - Method in interface org.deeplearning4j.nn.layers.normalization.BatchNormalizationHelper
 
checkSupported(double) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
checkSupported(double, double, double, double) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
 
checkSupported(double, double, double, double) - Method in interface org.deeplearning4j.nn.layers.normalization.LocalResponseNormalizationHelper
 
checkSupported(IActivation, IActivation, boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
checkSupported(IActivation, IActivation, boolean) - Method in interface org.deeplearning4j.nn.layers.recurrent.LSTMHelper
 
checkTerminalConditions(INDArray, double, double, int) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Check termination conditions setup a search state
checkTerminalConditions(INDArray, double, double, int) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
checkTree() - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
children() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
ChineseTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
The ansj_seg of the open source segmentation algorithm comes form github,the link: https://github.com/NLPchina/ansj_seg When the open source code that obeyed the Apache 2.0 license is reused, its latest commit ID is dedc45fdf85dfd2d4c691fb1f147d7cbf9a5d7fb and its copyright 2011-2016
ChineseTokenizer() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
ChineseTokenizer(String) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
ChineseTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerFactory
 
ChineseTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerFactory.ChineseTokenizerFactory
 
choleskyFromMatrix(RealMatrix) - Method in class org.deeplearning4j.clustering.util.MathUtils
This will return the cholesky decomposition of the given matrix
CifarDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
CifarDataSetIterator is an iterator for Cifar10 dataset explicitly There is a special preProcessor used to normalize the dataset based on Sergey Zagoruyko example https://github.com/szagoruyko/cifar.torch
CifarDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Loads images with given batchSize & numExamples returned by the generator.
CifarDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Loads images with given batchSize, numExamples, & version returned by the generator.
CifarDataSetIterator(int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Loads images with given batchSize & imgDim returned by the generator.
CifarDataSetIterator(int, int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Loads images with given batchSize, numExamples, & imgDim returned by the generator.
CifarDataSetIterator(int, int, int[], boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Loads images with given batchSize, numExamples, imgDim & version returned by the generator.
CifarDataSetIterator(int, int, int[], boolean, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Loads images with given batchSize, numExamples, imgDim & version returned by the generator.
CifarDataSetIterator(int, int, int[], int, ImageTransform, boolean, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Create Cifar data specific iterator
CifarDataSetIterator(int, int, int[], int, ImageTransform, boolean, boolean, long, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
Create Cifar data specific iterator
clamp(int, int, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Clamps the value to a discrete value
classCount(Integer) - Method in class org.deeplearning4j.eval.Evaluation
Returns the number of times the given label has actually occurred
classForScore(Double) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
classification - Variable in class org.deeplearning4j.aws.emr.EmrConfig
 
classification(int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Use this for classification
ClassificationScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Score function for evaluating a MultiLayerNetwork according to an evaluation metric (Evaluation.Metric such as accuracy, F1 score, etc.
ClassificationScoreCalculator(Evaluation.Metric, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
Classifier - Interface in org.deeplearning4j.nn.api
A classifier (this is for supervised learning)
classify(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
Classifies the given text
classify(CAS) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
classify(Sentence) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
classifyPoint(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
classifyPoint(Point, boolean) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
classifyPoint(ClusterSet, Point) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
classifyPoints() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
classifyPoints(List<Point>) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
classifyPoints(List<Point>, boolean) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
classifyPoints(ClusterSet, List<Point>, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
Classify the set of points base on cluster centers.
className - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
className - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
ClassPrediction - Class in org.deeplearning4j.zoo.util
ClassPrediction: a prediction for classification, used with a Labels class.
ClassPrediction() - Constructor for class org.deeplearning4j.zoo.util.ClassPrediction
 
cleanup - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
cleanup(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
cleanup() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Cleanup any resources used
clear() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Clears this trie by removing all its key-value pairs
clear(String) - Static method in class org.ansj.library.DicLibrary
将用户自定义词典清空
clear() - Method in class org.ansj.recognition.impl.StopRecognition
 
clear() - Method in interface org.deeplearning4j.nn.api.Model
Clear input
clear() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
Clear any previously set weight/bias parameters (including their shapes)
clear() - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
clear() - Method in interface org.deeplearning4j.nn.gradient.Gradient
Clear residual parameters (useful for returning a gradient and then clearing old objects)
clear() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
clear() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
clear() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
clear() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Clear the internal state (if any) of the GraphVertex.
clear() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
clear() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
clear() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
clear() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
clear() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
clear() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
clear() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
clear() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Clear the inputs.
clear() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
clear() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
clear() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
clear() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
clear() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
clear() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
clear() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
clearLayerMaskArrays() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Remove the mask arrays from all layers.
See ComputationGraph.setLayerMaskArrays(INDArray[], INDArray[]) for details on mask arrays.
clearLayerMaskArrays() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Remove the mask arrays from all layers.
See MultiLayerNetwork.setLayerMaskArrays(INDArray, INDArray) for details on mask arrays.
clearLayersStates() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method just makes sure there's no state preserved within layers
clearLayersStates() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method just makes sure there's no state preserved within layers
clearNoiseWeightParams() - Method in interface org.deeplearning4j.nn.api.Layer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
clearNoiseWeightParams() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
clearScore() - Method in class org.ansj.domain.Term
将term的所有分数置为0
clearTbpttState - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
clearTbpttState - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
clearVariables() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
clearVertex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
clearVertex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
clearVertex() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
This method clears inpjut for this vertex
clipboard - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
clone() - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
clone() - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
 
clone() - Method in interface org.deeplearning4j.nn.api.Layer
Deprecated.
clone() - Method in interface org.deeplearning4j.nn.api.layers.LayerConstraint
 
clone() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
clone() - Method in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
clone() - Method in class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint
 
clone() - Method in class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
 
clone() - Method in class org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint
 
clone() - Method in class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint
 
clone() - Method in class org.deeplearning4j.nn.conf.distribution.Distribution
 
clone() - Method in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
clone() - Method in class org.deeplearning4j.nn.conf.dropout.Dropout
 
clone() - Method in class org.deeplearning4j.nn.conf.dropout.GaussianDropout
 
clone() - Method in class org.deeplearning4j.nn.conf.dropout.GaussianNoise
 
clone() - Method in interface org.deeplearning4j.nn.conf.dropout.IDropout
 
clone() - Method in class org.deeplearning4j.nn.conf.dropout.SpatialDropout
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
clone() - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
clone() - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Layer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
clone() - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
clone() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
clone() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
clone() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Creates and returns a deep copy of the configuration.
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor
 
clone() - Method in class org.deeplearning4j.nn.conf.stepfunctions.StepFunction
 
clone() - Method in class org.deeplearning4j.nn.conf.weightnoise.DropConnect
 
clone() - Method in interface org.deeplearning4j.nn.conf.weightnoise.IWeightNoise
 
clone() - Method in class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
clone() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
clone() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
clone() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
clone() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
clone() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
clone() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
clone() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
clone() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
clone() - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.KerasFlattenRnnPreprocessor
 
clone() - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
clone() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Clones the multilayernetwork
clone() - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
clone() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
clone() - Method in class org.deeplearning4j.ui.stats.J7StatsListener
 
clone() - Method in class org.deeplearning4j.ui.stats.StatsListener
 
cloneListener(TrainingListener) - Static method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
close() - Method in class org.ansj.util.AnsjReader
 
close() - Method in interface org.deeplearning4j.api.storage.StatsStorage
Close any open resources (files, etc)
close() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Close any resources opened by the manager.
close() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
close() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
 
close() - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
 
close() - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
close() - Method in class org.deeplearning4j.parallelism.ParallelWrapper
 
close() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
close() - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
close() - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
close() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
Cluster - Class in org.deeplearning4j.clustering.cluster
A cluster.
Cluster() - Constructor for class org.deeplearning4j.clustering.cluster.Cluster
 
Cluster(Point, String) - Constructor for class org.deeplearning4j.clustering.cluster.Cluster
 
Cluster(Point, boolean, String) - Constructor for class org.deeplearning4j.clustering.cluster.Cluster
 
ClusterInfo - Class in org.deeplearning4j.clustering.info
 
ClusterInfo(boolean) - Constructor for class org.deeplearning4j.clustering.info.ClusterInfo
 
ClusterInfo(boolean, boolean) - Constructor for class org.deeplearning4j.clustering.info.ClusterInfo
 
ClusteringAlgorithm - Interface in org.deeplearning4j.clustering.algorithm
An interface for a clustering algorithm.
ClusteringAlgorithmCondition - Interface in org.deeplearning4j.clustering.condition
 
ClusteringOptimization - Class in org.deeplearning4j.clustering.optimisation
 
ClusteringOptimization() - Constructor for class org.deeplearning4j.clustering.optimisation.ClusteringOptimization
 
ClusteringOptimizationType - Enum in org.deeplearning4j.clustering.optimisation
 
ClusteringStrategy - Interface in org.deeplearning4j.clustering.strategy
 
ClusteringStrategyType - Enum in org.deeplearning4j.clustering.strategy
 
clusterName(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
Defines the EMR cluster's name
ClusterSet - Class in org.deeplearning4j.clustering.cluster
 
ClusterSet(boolean) - Constructor for class org.deeplearning4j.clustering.cluster.ClusterSet
 
ClusterSet(String, boolean) - Constructor for class org.deeplearning4j.clustering.cluster.ClusterSet
 
ClusterSetInfo - Class in org.deeplearning4j.clustering.info
 
ClusterSetInfo(boolean) - Constructor for class org.deeplearning4j.clustering.info.ClusterSetInfo
 
ClusterSetInfo(boolean, boolean) - Constructor for class org.deeplearning4j.clustering.info.ClusterSetInfo
 
ClusterSetup - Class in org.deeplearning4j.aws.ec2.provision
Sets up a DL4J cluster
ClusterSetup(String[]) - Constructor for class org.deeplearning4j.aws.ec2.provision.ClusterSetup
 
ClusterUtils - Class in org.deeplearning4j.clustering.cluster
Basic cluster utilities
ClusterUtils() - Constructor for class org.deeplearning4j.clustering.cluster.ClusterUtils
 
Cnn3DToFeedForwardPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow CNN and standard feed-forward network layers to be used together.
For example, CNN3D -> Denselayer
This does two things:
(b) Reshapes 5d activations out of CNN layer, with shape [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) into 2d activations (with shape [numExamples, inputDepth*inputHeight*inputWidth*numChannels]) for use in feed forward layer (a) Reshapes epsilons (weights*deltas) out of FeedFoward layer (which is 2D or 3D with shape [numExamples, inputDepth* inputHeight*inputWidth*numChannels]) into 5d epsilons (with shape [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) suitable to feed into CNN layers.
Note: numChannels is equivalent to featureMaps referenced in different literature
Cnn3DToFeedForwardPreProcessor(int, int, int, int, boolean) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
Cnn3DToFeedForwardPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
Cnn3DToFeedForwardPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
CnnLossLayer - Class in org.deeplearning4j.nn.conf.layers
Convolutional Neural Network Loss Layer.
Handles calculation of gradients etc for various objective functions.
NOTE: CnnLossLayer does not have any parameters.
CnnLossLayer - Class in org.deeplearning4j.nn.layers.convolution
Convolutional Neural Network Loss Layer.
Handles calculation of gradients etc for various objective functions.
NOTE: CnnLossLayer does not have any parameters.
CnnLossLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
CnnLossLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
CnnSentenceDataSetIterator - Class in org.deeplearning4j.iterator
A DataSetIterator that provides data for training a CNN sentence classification models (though can of course be used for general documents, not just sentences.
CnnSentenceDataSetIterator.Builder - Class in org.deeplearning4j.iterator
 
CnnSentenceDataSetIterator.UnknownWordHandling - Enum in org.deeplearning4j.iterator
 
CnnToFeedForwardPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow CNN and standard feed-forward network layers to be used together.
For example, CNN -> Denselayer
This does two things:
(b) Reshapes 4d activations out of CNN layer, with shape [numExamples, numChannels, inputHeight, inputWidth]) into 2d activations (with shape [numExamples, inputHeight*inputWidth*numChannels]) for use in feed forward layer (a) Reshapes epsilons (weights*deltas) out of FeedFoward layer (which is 2D or 3D with shape [numExamples, inputHeight*inputWidth*numChannels]) into 4d epsilons (with shape [numExamples, numChannels, inputHeight, inputWidth]) suitable to feed into CNN layers.
Note: numChannels is equivalent to channels or featureMaps referenced in different literature
CnnToFeedForwardPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
CnnToFeedForwardPreProcessor(int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
CnnToFeedForwardPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
CnnToRnnPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow CNN and RNN layers to be used together.
For example, ConvolutionLayer -> GravesLSTM Functionally equivalent to combining CnnToFeedForwardPreProcessor + FeedForwardToRnnPreProcessor
Specifically, this does two things:
(a) Reshape 4d activations out of CNN layer, with shape [timeSeriesLength*miniBatchSize, numChannels, inputHeight, inputWidth]) into 3d (time series) activations (with shape [numExamples, inputHeight*inputWidth*numChannels, timeSeriesLength]) for use in RNN layers
(b) Reshapes 3d epsilons (weights.*deltas) out of RNN layer (with shape [miniBatchSize,inputHeight*inputWidth*numChannels,timeSeriesLength]) into 4d epsilons with shape [miniBatchSize*timeSeriesLength, numChannels, inputHeight, inputWidth] suitable to feed into CNN layers.
CnnToRnnPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
cntGet - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
cntPut - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
COALESCE_THRESHOLD - Static variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
COCOLabels - Class in org.deeplearning4j.zoo.util.darknet
Helper class that returns label descriptions for YOLO models trained with COCO.
COCOLabels() - Constructor for class org.deeplearning4j.zoo.util.darknet.COCOLabels
 
codec - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
 
codeLength - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
codes - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
codes - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
COEFFICIENTS_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer
 
cohesion(String) - Method in class org.ansj.app.crf.SplitWord
随便给一个词。计算这个词的内聚分值,可以理解为计算这个词的可信度
collapseDimensions(boolean) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
Whether to collapse dimensions when pooling or not.
CollapseUnaries - Class in org.deeplearning4j.text.corpora.treeparser
Collapse unaries such that the tree is only made of preterminals and leaves.
CollapseUnaries() - Constructor for class org.deeplearning4j.text.corpora.treeparser.CollapseUnaries
 
collectGarbageCollectionStats() - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should garbage collection stats be collected and reported?
collectGarbageCollectionStats(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectGarbageCollectionStats() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectHardwareInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationConfiguration
Should hardware configuration information be collected? JVM available processors, number of devices, total memory for each device
collectHardwareInfo() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsInitializationConfiguration
 
collectHistograms(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should histograms (per parameter type, or per layer for activations) of the given type be collected?
collectHistograms(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectHistogramsActivations(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectHistogramsGradients(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectHistogramsParameters(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectHistogramsUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
CollectionLabeledSentenceProvider - Class in org.deeplearning4j.iterator.provider
Iterate over a set of sentences/documents, where the sentences and labels are provided in lists.
CollectionLabeledSentenceProvider(List<String>, List<String>) - Constructor for class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
CollectionLabeledSentenceProvider(List<String>, List<String>, Random) - Constructor for class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
CollectionSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
 
CollectionSentenceIterator(SentencePreProcessor, Collection<String>) - Constructor for class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
CollectionSentenceIterator(Collection<String>) - Constructor for class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
CollectionStatsStorageRouter - Class in org.deeplearning4j.api.storage.impl
A simple StatsStorageRouter that simply stores the metadata, static info and updates in the specified collections.
CollectionStatsStorageRouter() - Constructor for class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
collectLearningRates() - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should per-parameter type learning rates be collected and reported?
collectLearningRates(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectLearningRates() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectMean(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should the mean values (per parameter type, or per layer for activations) be collected?
collectMean(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectMeanActivations(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanGradients(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanMagnitudes(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should the mean magnitude values (per parameter type, or per layer for activations) be collected?
collectMeanMagnitudes(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectMeanMagnitudesActivations(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanMagnitudesGradients(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanMagnitudesParameters(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanMagnitudesUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanParameters(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMeanUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMemoryStats() - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should JVM, off-heap and memory stats be collected/reported?
collectMemoryStats(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectMemoryStats() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectMetaData(boolean) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
When set to true: metadata for the current examples will be present in the returned DataSet.
collectModelInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationConfiguration
Should model information be collected? Model class, configuration (JSON), number of layers, number of parameters, etc.
collectModelInfo() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsInitializationConfiguration
 
collectPerformanceStats() - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should performance stats be collected/reported? Total time, total examples, total batches, Minibatches/second, examples/second
collectPerformanceStats(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectPerformanceStats() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
CollectScoresIterationListener - Class in org.deeplearning4j.optimize.listeners
CollectScoresIterationListener simply stores the model scores internally (along with the iteration) every 1 or N iterations (this is configurable).
CollectScoresIterationListener() - Constructor for class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
Constructor for collecting scores with default saving frequency of 1
CollectScoresIterationListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
Constructor for collecting scores with the specified frequency.
CollectScoresListener - Class in org.deeplearning4j.optimize.listeners
A simple listener that collects scores to a list every N iterations.
CollectScoresListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.CollectScoresListener
 
CollectScoresListener(int, boolean) - Constructor for class org.deeplearning4j.optimize.listeners.CollectScoresListener
 
collectSoftwareInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationConfiguration
Should software configuration information be collected? For example, OS, JVM, and ND4J backend details
collectSoftwareInfo() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsInitializationConfiguration
 
collectStdev(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Should the standard devication values (per parameter type, or per layer for activations) be collected?
collectStdev(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
collectStdevActivations(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectStdevGradients(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectStdevParameters(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectStdevUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
collectTrainingStats - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
collectTrainingStats - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
collectTrainingStats - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
collectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Enable/disable collection of training statistics
collectTrainingStats - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
color(Color) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
Color for the text
color(String) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
Color for the text
colorToHex(Color) - Static method in class org.deeplearning4j.ui.api.Utils
Convert an AWT color to a hex color string, such as #000000
columnWidths(LengthUnit, double...) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
Specify the widths for the columns
com.atilika.kuromoji - package com.atilika.kuromoji
 
com.atilika.kuromoji.buffer - package com.atilika.kuromoji.buffer
 
com.atilika.kuromoji.compile - package com.atilika.kuromoji.compile
 
com.atilika.kuromoji.dict - package com.atilika.kuromoji.dict
 
com.atilika.kuromoji.io - package com.atilika.kuromoji.io
 
com.atilika.kuromoji.ipadic - package com.atilika.kuromoji.ipadic
 
com.atilika.kuromoji.ipadic.compile - package com.atilika.kuromoji.ipadic.compile
 
com.atilika.kuromoji.trie - package com.atilika.kuromoji.trie
 
com.atilika.kuromoji.util - package com.atilika.kuromoji.util
 
com.atilika.kuromoji.viterbi - package com.atilika.kuromoji.viterbi
 
combination(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the combination of n choose r
CombinedMultiDataSetPreProcessor - Class in org.deeplearning4j.datasets.iterator
Combines various multidataset preprocessors Applied in the order they are specified to in the builder
CombinedMultiDataSetPreProcessor.Builder - Class in org.deeplearning4j.datasets.iterator
 
CombinedPreProcessor - Class in org.deeplearning4j.datasets.iterator
This is special preProcessor, that allows to combine multiple prerpocessors, and apply them to data sequentially.
CombinedPreProcessor.Builder - Class in org.deeplearning4j.datasets.iterator
 
combinedSequentialFileInputStream(File) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
CommonPreprocessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
A ToeknPreProcess implementation that removes puncuation marks and lower-cases.
CommonPreprocessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor
 
CommonSparkTrainingStats - Class in org.deeplearning4j.spark.api.stats
A SparkTrainingStats implementation for common stats functionality used by most workers
CommonSparkTrainingStats() - Constructor for class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
CommonSparkTrainingStats.Builder - Class in org.deeplearning4j.spark.api.stats
 
CommunicativeTrainer - Interface in org.deeplearning4j.parallelism.trainer
 
CompactModelAndGradient - Class in org.deeplearning4j.ui.weights.beans
Slightly modified version of ModelAndGradient, with binned params/gradients, suitable for fast network transfers for HistogramIterationListener
CompactModelAndGradient() - Constructor for class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
CompanyAttrLibrary - Class in org.ansj.library.company
机构名识别词典加载类
compare(HeapObject, HeapObject) - Method in class org.deeplearning4j.clustering.vptree.VPTree.HeapObjectComparator
 
compare(Double[], Double[]) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.ArrayComparator
 
compare(BasicModelUtils.WordSimilarity, BasicModelUtils.WordSimilarity) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.SimilarityComparator
 
compare(Vertex<V>, Vertex<V>) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.VertexComparator
 
compare(PopularityWalker.Node<T>, PopularityWalker.Node<T>) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.NodeComparator
 
compare(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
compare(EventStats, EventStats) - Method in class org.deeplearning4j.spark.stats.StatsUtils.StartTimeComparator
 
compareTo(Keyword) - Method in class org.ansj.app.keyword.Keyword
 
compareTo(HeapItem) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
compareTo(HeapObject) - Method in class org.deeplearning4j.clustering.sptree.HeapObject
 
compareTo(SequenceElement) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
compareTo(BaseCollectionStatsStorage.SessionTypeId) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeId
 
compareTo(BaseCollectionStatsStorage.SessionTypeWorkerId) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeWorkerId
 
compile() - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
compile() - Method in interface com.atilika.kuromoji.compile.Compiler
 
compile() - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
compile() - Method in class com.atilika.kuromoji.compile.TokenInfoBufferCompiler
 
compile() - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
compile() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
compile() - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
 
Compiler - Interface in com.atilika.kuromoji.compile
 
Component - Class in org.deeplearning4j.ui.api
A component is anything that can be rendered, such at charts, text or tables.
Component(String, Style) - Constructor for class org.deeplearning4j.ui.api.Component
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.chart.ChartHistogram
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.chart.ChartLine
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.chart.ChartScatter
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.chart.ChartStackedArea
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.chart.ChartTimeline
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.component.ComponentDiv
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.table.ComponentTable
 
COMPONENT_TYPE - Static variable in class org.deeplearning4j.ui.components.text.ComponentText
 
ComponentDiv - Class in org.deeplearning4j.ui.components.component
Div component (as in, HTML div)
ComponentDiv() - Constructor for class org.deeplearning4j.ui.components.component.ComponentDiv
 
ComponentDiv(Style, Component...) - Constructor for class org.deeplearning4j.ui.components.component.ComponentDiv
 
ComponentDiv(Style, Collection<Component>) - Constructor for class org.deeplearning4j.ui.components.component.ComponentDiv
 
ComponentObject - Class in org.deeplearning4j.ui.standalone
Created by Alex on 25/03/2016.
ComponentObject() - Constructor for class org.deeplearning4j.ui.standalone.ComponentObject
 
ComponentTable - Class in org.deeplearning4j.ui.components.table
Simple 2d table for text,
ComponentTable() - Constructor for class org.deeplearning4j.ui.components.table.ComponentTable
 
ComponentTable(ComponentTable.Builder) - Constructor for class org.deeplearning4j.ui.components.table.ComponentTable
 
ComponentTable(String[], String[][], StyleTable) - Constructor for class org.deeplearning4j.ui.components.table.ComponentTable
 
ComponentTable.Builder - Class in org.deeplearning4j.ui.components.table
 
ComponentText - Class in org.deeplearning4j.ui.components.text
Simple text component with styling
ComponentText() - Constructor for class org.deeplearning4j.ui.components.text.ComponentText
 
ComponentText(String, StyleText) - Constructor for class org.deeplearning4j.ui.components.text.ComponentText
 
ComponentText.Builder - Class in org.deeplearning4j.ui.components.text
 
componentType - Variable in class org.deeplearning4j.ui.api.Component
Component type: used by the Arbiter UI to determine how to decode and render the object which is represented by the JSON representation of this object
ComposableInputPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
Composable input pre processor
ComposableInputPreProcessor(InputPreProcessor...) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
ComposableIterationListener - Class in org.deeplearning4j.optimize.listeners
A group of listeners
ComposableIterationListener(TrainingListener...) - Constructor for class org.deeplearning4j.optimize.listeners.ComposableIterationListener
 
ComposableIterationListener(Collection<TrainingListener>) - Constructor for class org.deeplearning4j.optimize.listeners.ComposableIterationListener
 
CompositeReconstructionDistribution - Class in org.deeplearning4j.nn.conf.layers.variational
CompositeReconstructionDistribution is a reconstruction distribution built from multiple other ReconstructionDistribution instances.
The typical use is to combine for example continuous and binary data in the same model, or to combine different distributions for continuous variables.
CompositeReconstructionDistribution(int[], ReconstructionDistribution[], int) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
CompositeReconstructionDistribution.Builder - Class in org.deeplearning4j.nn.conf.layers.variational
 
compressor - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
compuNatureFreq(NatureRecognition.NatureTerm, NatureRecognition.NatureTerm) - Static method in class org.ansj.util.MathUtil
两个词性之间的分数计算
compuScore(Term, Term, Map<String, Double>) - Static method in class org.ansj.util.MathUtil
从一个词的词性到另一个词的词的分数
compuScoreFreq(Term, Term) - Static method in class org.ansj.util.MathUtil
词性词频词长.计算出来一个分数
ComputationGraph - Class in org.deeplearning4j.nn.graph
A ComputationGraph network is a neural network with arbitrary (directed acyclic graph) connection structure.
ComputationGraph(ComputationGraphConfiguration) - Constructor for class org.deeplearning4j.nn.graph.ComputationGraph
 
computationGraph - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
ComputationGraphConfiguration - Class in org.deeplearning4j.nn.conf
ComputationGraphConfiguration is a configuration object for neural networks with arbitrary connection structure.
ComputationGraphConfiguration() - Constructor for class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
ComputationGraphConfiguration.GraphBuilder - Class in org.deeplearning4j.nn.conf
 
ComputationGraphConfigurationDeserializer - Class in org.deeplearning4j.nn.conf.serde
 
ComputationGraphConfigurationDeserializer(JsonDeserializer<?>) - Constructor for class org.deeplearning4j.nn.conf.serde.ComputationGraphConfigurationDeserializer
 
ComputationGraphUpdater - Class in org.deeplearning4j.nn.updater.graph
Gradient updater for ComputationGraph.
ComputationGraphUpdater(ComputationGraph) - Constructor for class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
ComputationGraphUpdater(ComputationGraph, INDArray) - Constructor for class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
computationGraphUpdater - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
ComputationGraphUtil - Class in org.deeplearning4j.nn.graph.util
 
compute(PortableDataStream) - Method in class org.deeplearning4j.spark.parameterserver.callbacks.DataSetDeserializationCallback
 
compute(PortableDataStream) - Method in class org.deeplearning4j.spark.parameterserver.callbacks.MultiDataSetDeserializationCallback
 
compute(PortableDataStream) - Method in interface org.deeplearning4j.spark.parameterserver.callbacks.PortableDataStreamCallback
This method should do something, and return DataSet after all
compute(PortableDataStream) - Method in interface org.deeplearning4j.spark.parameterserver.callbacks.PortableDataStreamMDSCallback
This method should do something, and return DataSet after all
computeArticleTfidf(String, String) - Method in class org.ansj.app.keyword.KeyWordComputer
 
computeArticleTfidf(String) - Method in class org.ansj.app.keyword.KeyWordComputer
只有正文
computeClusterInfos(Cluster, String) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
computeClusterSetInfo(ClusterSet) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
computeClusterSetInfo(ClusterSet, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
computeDistance(String, INDArray, INDArray, INDArray) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
/** Compute the distance between 2 vectors given a function name.
computeDistance(String, INDArray, INDArray) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Compute the distance between 2 vectors given a function name.
computeDistanceMulti(String, INDArray, INDArray, INDArray) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Compute the distance between 2 vectors given a function name.
computeEdgeForces(INDArray, INDArray, INDArray, int, INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
computeEdgeForces(INDArray, INDArray, INDArray, int, INDArray) - Method in class org.deeplearning4j.clustering.sptree.SpTree
Compute edge forces using barnes hut
computeGaussianKernel(INDArray, double, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Computes a gaussian kernel given a vector of squared distance distances
computeGaussianPerplexity(INDArray, double) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Convert data to probability co-occurrences (aka calculating the kernel)
computeGradient(INDArray, INDArray, IActivation, INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Model
Update the score
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
computeGradientAndScore() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
computeGradientAndScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
computeGradientAndScore() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
computeGradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
computeLossFunctionScoreArray(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
computeNonEdgeForces(int, double, INDArray, AtomicDouble) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Compute non edge forces using barnes hut
computeNonEdgeForces(int, double, INDArray, AtomicDouble) - Method in class org.deeplearning4j.clustering.sptree.SpTree
Compute non edge forces using barnes hut
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.layers.IOutputLayer
Compute score after labels and input have been set.
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Compute score after labels and input have been set.
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
Compute score after labels and input have been set.
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
Compute score after labels and input have been set.
computeScore(INDArray, INDArray, IActivation, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
computeScore(double, double, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
Compute score after labels and input have been set.
computeScore(VariationalAutoencoder, INDArray) - Method in class org.deeplearning4j.spark.impl.common.score.BaseVaeReconstructionProbWithKeyFunctionAdapter
 
computeScore(VariationalAutoencoder, INDArray) - Method in class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
computeScore(VariationalAutoencoder, INDArray) - Method in class org.deeplearning4j.spark.impl.graph.scoring.CGVaeReconstructionErrorWithKeyFunction
 
computeScoreArray(INDArray, INDArray, IActivation, INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.layers.IOutputLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
Compute the score for each example individually, after labels and input have been set.
computeScoreForExamples(double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
Compute the score for each example individually, after labels and input have been set.
computeSquareDistancesFromNearestCluster(ClusterSet, List<Point>, INDArray, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
ConcurrentHashSet<E> - Class in org.deeplearning4j.parallelism
Deprecated.
Please use Collections.newSetFromMap(new ConcurrentHashMap<>())
ConcurrentHashSet() - Constructor for class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
ConcurrentHashSet(Collection<E>) - Constructor for class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
ConcurrentTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
OpenNLP Tokenizer annotator.
ConcurrentTokenizer() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
Initializes a new instance.
conf() - Method in interface org.deeplearning4j.nn.api.Model
The configuration for the neural network
conf() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
conf - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
conf() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
conf() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
conf - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
conf() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
conf() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
conf - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
conf() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
conf - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
conf() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
conf() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
conf() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
conf() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
conf() - Method in class org.deeplearning4j.zoo.model.LeNet
 
conf() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
conf() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
conf() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
conf() - Method in class org.deeplearning4j.zoo.model.VGG16
 
conf() - Method in class org.deeplearning4j.zoo.model.VGG19
 
conf() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
Config - Class in org.ansj.app.crf
 
Config(int[][]) - Constructor for class org.ansj.app.crf.Config
 
config - Variable in class org.ansj.app.crf.Model
 
config - Static variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
config - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
configs - Variable in class org.deeplearning4j.aws.emr.EmrConfig
 
configuration - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
configuration - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
configuration - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
configuration - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
configuration - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
configuration - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
configuration - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
configuration - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
CONFIGURATION_JSON - Static variable in class org.deeplearning4j.util.ModelSerializer
 
configurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
configurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
configurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
configurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
configurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
configure(TokenizerBase.Builder) - Method in class com.atilika.kuromoji.TokenizerBase
 
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
 
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
SkipGram initialization over given vocabulary and WeightLookupTable
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
configure(VocabCache<T>, WeightLookupTable<T>, VectorsConfiguration) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
configure(NeuralNetConfiguration) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
configure(VocabCache<ShallowSequenceElement>, WeightLookupTable<ShallowSequenceElement>, VectorsConfiguration) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
configure(VocabCache<ShallowSequenceElement>, WeightLookupTable<ShallowSequenceElement>, VectorsConfiguration) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
configure() - Method in class org.deeplearning4j.streaming.kafka.NDArrayPubSubRoute
Called on initialization to build the routes using the fluent builder syntax.

This is a central method for RouteBuilder implementations to implement the routes using the Java fluent builder syntax.

configure() - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder
Let's configure the Camel routing rules using Java code...
configure() - Method in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
Called on initialization to build the routes using the fluent builder syntax.

This is a central method for RouteBuilder implementations to implement the routes using the Java fluent builder syntax.

configured - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
configureListeners(String, Collection<TrainingListener>, Collection<TrainingListener>) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
confs - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
confs(List<NeuralNetConfiguration>) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
confs - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
Confusion() - Constructor for class org.deeplearning4j.eval.curves.PrecisionRecallCurve.Confusion
 
confusion - Variable in class org.deeplearning4j.eval.Evaluation
 
CONFUSION_PRINT_MAX_CLASSES - Static variable in class org.deeplearning4j.eval.Evaluation
 
ConfusionMatrix<T extends Comparable<? super T>> - Class in org.deeplearning4j.eval
 
ConfusionMatrix(List<T>) - Constructor for class org.deeplearning4j.eval.ConfusionMatrix
Creates an empty confusion Matrix
ConfusionMatrix() - Constructor for class org.deeplearning4j.eval.ConfusionMatrix
 
ConfusionMatrix(ConfusionMatrix<T>) - Constructor for class org.deeplearning4j.eval.ConfusionMatrix
Creates a new ConfusionMatrix initialized with the contents of another ConfusionMatrix.
confusionMatrix() - Method in class org.deeplearning4j.eval.Evaluation
Get the confusion matrix as a String
ConfusionMatrixDeserializer - Class in org.deeplearning4j.eval.serde
A JSON deserializer for ConfusionMatrix<Integer> instances, used in Evaluation
ConfusionMatrixDeserializer() - Constructor for class org.deeplearning4j.eval.serde.ConfusionMatrixDeserializer
 
confusionMatrixMetaData - Variable in class org.deeplearning4j.eval.Evaluation
 
ConfusionMatrixSerializer - Class in org.deeplearning4j.eval.serde
A JSON serializer for ConfusionMatrix<Integer> instances, used in Evaluation
ConfusionMatrixSerializer() - Constructor for class org.deeplearning4j.eval.serde.ConfusionMatrixSerializer
 
confusionToString() - Method in class org.deeplearning4j.eval.Evaluation
Get a String representation of the confusion matrix
ConjugateGradient - Class in org.deeplearning4j.optimize.solvers
Originally based on cc.mallet.optimize.ConjugateGradient Rewritten based on Conjugate Gradient algorithm in Bengio et al., Deep Learning (in preparation) Ch8.
ConjugateGradient(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.ConjugateGradient
 
ConjugateGradient(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Collection<TerminationCondition>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.ConjugateGradient
 
CONJUGATION_FORM - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
CONJUGATION_TYPE - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
connect(List<Tree>) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Connects the given trees and sets the parents of the children
CONNECTION_COSTS_FILENAME - Static variable in class com.atilika.kuromoji.dict.ConnectionCosts
 
ConnectionCosts - Class in com.atilika.kuromoji.dict
 
ConnectionCosts(int, ShortBuffer) - Constructor for class com.atilika.kuromoji.dict.ConnectionCosts
 
connectionCosts - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
ConnectionCostsCompiler - Class in com.atilika.kuromoji.compile
 
ConnectionCostsCompiler(OutputStream) - Constructor for class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
ConstantDistribution - Class in org.deeplearning4j.nn.conf.distribution
Constant distribution.
ConstantDistribution(double) - Constructor for class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
Create a Constant distribution with given value
constrainAllParameters(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Set constraints to be applied to this layer.
constrainAllParameters(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set constraints to be applied to all layers.
constrainBeta(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
Set constraints to be applied to the beta parameter of this batch normalisation layer.
constrainBias(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Set constraints to be applied to bias parameters of this layer.
constrainBias(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set constraints to be applied to all layers.
constrainGamma(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
Set constraints to be applied to the gamma parameter of this batch normalisation layer.
constrainInputWeights(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
Set constraints to be applied to the RNN input weight parameters of this layer.
constrainPointWise(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
Set constraints to be applied to the point-wise convolution weight parameters of this layer.
constrainRecurrent(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
Set constraints to be applied to the RNN recurrent weight parameters of this layer.
constraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer
 
constraints(List<LayerConstraint>) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Set constraints to be applied to all layers.
constraints - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
constrainWeights(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Set constraints to be applied to the weight parameters of this layer.
constrainWeights(LayerConstraint...) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set constraints to be applied to all layers.
consume(InMemoryLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
This method consumes weights of a given InMemoryLookupTable PLEASE NOTE: this method explicitly resets current weights
consumers - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
consumeVocabulary(VocabularyHolder) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
consumingTopic - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
contains(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
contains(double) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
 
contains(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
contains(Object) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
contains(Object) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
contains(Object) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
contains(Object) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
containsAll(Collection<?>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
containsAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
containsAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
containsAll(Collection<?>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
containsElement(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Checks, if specified element exists in vocabulary
containsKey(Object) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Test membership in this trie
containsKeyPrefix(String) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Test key prefix membership in this trie (prefix search using key)
containsPoint(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.Cell
Whether the given point is contained within this cell
containsValue(Object) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Predicate to test value membership
containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Checks, if specified label exists in vocabulary
containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns true if the cache contains the given word
containsWord(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns true if the cache contains the given word
containsWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Checks vocabulary for the word existance
content(String[][]) - Method in class org.deeplearning4j.ui.components.table.ComponentTable.Builder
Content for the table, as 2d String[]
content - Variable in class org.deeplearning4j.ui.standalone.ComponentObject
 
context - Variable in class org.deeplearning4j.spark.iterator.SparkADSI
 
context - Variable in class org.deeplearning4j.spark.iterator.SparkAMDSI
 
ContextLabelRetriever - Class in org.deeplearning4j.text.movingwindow
Context Label Retriever
conv1x1(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
conv3x3(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
conv5x5(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
conv7x7(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
ConvergenceCondition - Class in org.deeplearning4j.clustering.condition
 
ConvergenceCondition() - Constructor for class org.deeplearning4j.clustering.condition.ConvergenceCondition
 
convert(Collection<Collection<Writable>>, int) - Method in class org.deeplearning4j.streaming.conversion.dataset.CSVRecordToDataSet
 
convert(Collection<Collection<Writable>>, int) - Method in interface org.deeplearning4j.streaming.conversion.dataset.RecordToDataSet
Converts records in to a dataset
convert(Collection<Collection<Writable>>) - Method in class org.deeplearning4j.streaming.conversion.ndarray.CSVRecordToINDArray
 
convert(Collection<Collection<Writable>>) - Method in class org.deeplearning4j.streaming.conversion.ndarray.NDArrayRecordToNDArray
 
convert(Collection<Collection<Writable>>) - Method in interface org.deeplearning4j.streaming.conversion.ndarray.RecordToNDArray
Converts a list of records in to 1 ndarray
converter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
converter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
ConvexOptimizer - Interface in org.deeplearning4j.optimize.api
Convex optimizer.
convNxN(int, int, int, int, boolean) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
convNxNreduce(int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
Convolution1D - Class in org.deeplearning4j.nn.conf.layers
1D convolution layer
Convolution1D() - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution1D
 
Convolution1DLayer - Class in org.deeplearning4j.nn.conf.layers
1D (temporal) convolutional layer.
Convolution1DLayer - Class in org.deeplearning4j.nn.layers.convolution
1D (temporal) convolutional layer.
Convolution1DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
Convolution1DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
Convolution1DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Convolution2D - Class in org.deeplearning4j.nn.conf.layers
2D convolution layer
Convolution2D() - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution2D
 
Convolution3D - Class in org.deeplearning4j.nn.conf.layers
3D convolution layer configuration
Convolution3D(Convolution3D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.Convolution3D
3-dimensional convolutional layer configuration nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the depth The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size
Convolution3D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Convolution3D.DataFormat - Enum in org.deeplearning4j.nn.conf.layers
 
Convolution3DLayer - Class in org.deeplearning4j.nn.layers.convolution
3D convolution layer implementation.
Convolution3DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer
 
Convolution3DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer
 
Convolution3DParamInitializer - Class in org.deeplearning4j.nn.params
Initialize 3D convolution parameters.
Convolution3DParamInitializer() - Constructor for class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
Convolution3DUtils - Class in org.deeplearning4j.util
Shape utilities for 3D convolution layers
convolutional(int, int, int) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
Input type for convolutional (CNN) data, that is 4d with shape [miniBatchSize, channels, height, width].
convolutional(int, int, int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
convolutional3D(int, int, int, int) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
Input type for 3D convolutional (CNN3D) data, that is 5d with shape [miniBatchSize, channels, height, width, channels].
convolutionalFlat(int, int, int) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
Input type for convolutional (CNN) data, where the data is in flattened (row vector) format.
convolutionalFlat(int, int, int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
ConvolutionalIterationListener - Class in org.deeplearning4j.ui.weights
 
ConvolutionalIterationListener(UiConnectionInfo, int) - Constructor for class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
 
ConvolutionalIterationListener(int) - Constructor for class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
 
ConvolutionalIterationListener(int, boolean) - Constructor for class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
 
ConvolutionalIterationListener(StatsStorageRouter, int, boolean) - Constructor for class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
 
ConvolutionalIterationListener(StatsStorageRouter, int, boolean, String, String) - Constructor for class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
 
ConvolutionalListenerModule - Class in org.deeplearning4j.ui.module.convolutional
Used for plotting results from the ConvolutionalIterationListener
ConvolutionalListenerModule() - Constructor for class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
convolutionDim - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
ConvolutionHelper - Interface in org.deeplearning4j.nn.layers.convolution
Helper for the convolution layer.
ConvolutionLayer - Class in org.deeplearning4j.nn.conf.layers
 
ConvolutionLayer(ConvolutionLayer.BaseConvBuilder<?>) - Constructor for class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
ConvolutionLayer nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the channels The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size
ConvolutionLayer - Class in org.deeplearning4j.nn.layers.convolution
Convolution layer
ConvolutionLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
ConvolutionLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
ConvolutionLayer.AlgoMode - Enum in org.deeplearning4j.nn.conf.layers
The "PREFER_FASTEST" mode will pick the fastest algorithm for the specified parameters from the ConvolutionLayer.FwdAlgo, ConvolutionLayer.BwdFilterAlgo, and ConvolutionLayer.BwdDataAlgo lists, but they may be very memory intensive, so if weird errors occur when using cuDNN, please try the "NO_WORKSPACE" mode.
ConvolutionLayer.BaseConvBuilder<T extends ConvolutionLayer.BaseConvBuilder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
ConvolutionLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
ConvolutionLayer.BwdDataAlgo - Enum in org.deeplearning4j.nn.conf.layers
The backward data algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.BwdFilterAlgo - Enum in org.deeplearning4j.nn.conf.layers
The backward filter algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionLayer.FwdAlgo - Enum in org.deeplearning4j.nn.conf.layers
The forward algorithm to use when ConvolutionLayer.AlgoMode is set to "USER_SPECIFIED".
ConvolutionListenerPersistable - Class in org.deeplearning4j.ui.weights
Created by Alex on 24/10/2016.
ConvolutionListenerPersistable() - Constructor for class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
ConvolutionMode - Enum in org.deeplearning4j.nn.conf
ConvolutionMode defines how convolution operations should be executed for Convolutional and Subsampling layers, for a given input size and network configuration (specifically stride/padding/kernel sizes).
Currently, 3 modes are provided:

Strict: Output size for Convolutional and Subsampling layers are calculated as follows, in each dimension: outputSize = (inputSize - kernelSize + 2*padding) / stride + 1.
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
convolutionMode - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
Set the convolution mode for the Convolution layer.
convolutionMode - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
Set the convolution mode for the Convolution layer.
convolutionMode - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
Set the convolution mode for the Convolution layer.
convolutionMode - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
convolutionMode - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
Set the convolution mode for the Convolution layer.
convolutionMode - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
convolutionMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Sets the convolution mode for convolutional layers, which impacts padding and output sizes.
convolutionMode - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
convolutionMode - Variable in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
convolutionMode - Variable in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
convolutionMode(ConvolutionMode) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Sets the convolution mode for convolutional layers, which impacts padding and output sizes.
convolutionMode - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
ConvolutionParamInitializer - Class in org.deeplearning4j.nn.params
Initialize convolution params.
ConvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
ConvolutionUtils - Class in org.deeplearning4j.util
Convolutional shape utilities
CoOccurenceReader<T extends SequenceElement> - Interface in org.deeplearning4j.models.glove.count
Created by raver on 24.12.2015.
CoOccurrenceCalculator - Class in org.deeplearning4j.spark.models.embeddings.glove.cooccurrences
Calculate co occurrences based on tokens
CoOccurrenceCalculator(boolean, Broadcast<VocabCache<VocabWord>>, int) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.cooccurrences.CoOccurrenceCalculator
 
CoOccurrenceCounts - Class in org.deeplearning4j.spark.models.embeddings.glove.cooccurrences
Co occurrence count reduction
CoOccurrenceCounts() - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.cooccurrences.CoOccurrenceCounts
 
coOccurrenceCounts(Broadcast<CounterMap<String, String>>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
CoOccurrenceWeight<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
Simple POJO holding pairs of elements and their respective weights, used in GloVe -> CoOccurrence
CoOccurrenceWeight() - Constructor for class org.deeplearning4j.models.glove.count.CoOccurrenceWeight
 
CoOccurrenceWriter<T extends SequenceElement> - Interface in org.deeplearning4j.models.glove.count
Created by fartovii on 25.12.15.
coordSplit(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the coordinate split in a list of coordinates such that the values for ret[0] are the x values and ret[1] are the y values
coordSplit(List<Double>) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the coordinate split in a list of coordinates such that the values for ret[0] are the x values and ret[1] are the y values
copyWeightsToLayer(Layer) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Copy Keras layer weights to DL4J Layer.
copyWeightsToModel(Model, Map<String, KerasLayer>) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Helper function to import weights from nested Map into existing model.
corner(int) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
corner() - Method in class org.deeplearning4j.clustering.sptree.Cell
 
CORRECT - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
correlation(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns the correlation coefficient of two double vectors.
correlationR2(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
corruptionLevel(double) - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
corruptionLevel - Variable in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
costArray - Variable in class org.deeplearning4j.eval.Evaluation
 
count - Variable in class org.ansj.dic.LearnTool
告诉大家你学习了多少个词了
count - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
count() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
CountCumSum - Class in org.deeplearning4j.spark.text.functions
 
CountCumSum(JavaRDD<AtomicLong>) - Constructor for class org.deeplearning4j.spark.text.functions.CountCumSum
 
countDown() - Method in class org.deeplearning4j.models.word2vec.StreamWork
 
counter - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
counter - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
counter - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
counter - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
counter - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
countFinished - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
CountFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
This accumulator function does count individual elements, using provided Accumulator
CountFunction(Broadcast<VectorsConfiguration>, Broadcast<VoidConfiguration>, Accumulator<Counter<Long>>, boolean) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
CountMap<T extends SequenceElement> - Class in org.deeplearning4j.models.glove.count
Drop-in replacement for CounterMap WORK IN PROGRESS, PLEASE DO NOT USE
CountMap() - Constructor for class org.deeplearning4j.models.glove.count.CountMap
 
CountPartitionsFunction<T> - Class in org.deeplearning4j.spark.impl.common
This is a function use to count the number of elements in each partition.
CountPartitionsFunction() - Constructor for class org.deeplearning4j.spark.impl.common.CountPartitionsFunction
 
CountsForThreshold(double) - Constructor for class org.deeplearning4j.eval.ROC.CountsForThreshold
 
countSubmitted - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
Returns number of tokens PLEASE NOTE: this method effectively preloads all tokens.
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
 
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
countTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
The number of tokens in the tokenizer
countTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
create() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
Create the instances
create() - Method in class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
 
create(int) - Method in class org.deeplearning4j.graph.vertexfactory.IntegerVertexFactory
 
create(int) - Method in class org.deeplearning4j.graph.vertexfactory.StringVertexFactory
 
create(int) - Method in interface org.deeplearning4j.graph.vertexfactory.VertexFactory
 
create(int) - Method in class org.deeplearning4j.graph.vertexfactory.VoidVertexFactory
 
create(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
 
create(int, T) - Method in class org.deeplearning4j.models.sequencevectors.graph.vertex.AbstractVertexFactory
 
create(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.vertex.VertexFactory
 
create(int, T) - Method in interface org.deeplearning4j.models.sequencevectors.graph.vertex.VertexFactory
 
create() - Method in interface org.deeplearning4j.models.word2vec.InputStreamCreator
Create an input stream
create(String, int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
Create a Trainer based on the given parameters
create(String, int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext
Create a Trainer based on the given parameters
create(String, int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext
Create a Trainer based on the given parameters
create() - Method in interface org.deeplearning4j.parallelism.main.DataSetIteratorProviderFactory
Create an DataSetIterator
create() - Method in interface org.deeplearning4j.parallelism.main.MultiDataSetProviderFactory
Create an MultiDataSetIterator
create(String, int, Model, int, boolean, ParallelWrapper, WorkspaceMode, int) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
Create a Trainer based on the given parameters
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerFactory.ChineseTokenizerFactory
 
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerFactory.ChineseTokenizerFactory
 
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
 
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
 
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
Create a Tokenizer instance for the given sentence.
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
InputStreams are currently unsupported.
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.KoreanTokenizerFactory
 
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.KoreanTokenizerFactory
 
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
 
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
 
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
create(String) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory
The tokenizer to createComplex
create(InputStream) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory
Create a tokenizer based on an input stream
create(String) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
create(InputStream) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
createBias(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
createBias(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
createBias(int, double, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
createBias(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
createBias(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
createCenterLossMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
createCluster() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Creates the current cluster
createConsumer() - Method in class org.deeplearning4j.streaming.kafka.NDArrayKafkaClient
 
createDepthWiseWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
createDepthWiseWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
createDistribution(Distribution) - Static method in class org.deeplearning4j.nn.conf.distribution.Distributions
 
createGradient(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
createHandles() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext
 
createPointWiseWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
createPublisher() - Method in class org.deeplearning4j.streaming.kafka.NDArrayKafkaClient
 
createSpot() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
createStepFunction(StepFunction) - Static method in class org.deeplearning4j.optimize.stepfunctions.StepFunctions
 
createToken(int, String, ViterbiNode.Type, int, Dictionary) - Method in interface com.atilika.kuromoji.viterbi.TokenFactory
 
createTokenList(String) - Method in class com.atilika.kuromoji.TokenizerBase
Tokenizes the provided text and returns a list of tokens with various feature information
createVisibleBias(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
createWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
createWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
createWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
createWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DeconvolutionParamInitializer
 
createWeightMatrix(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
createWeightMatrix(int, int, WeightInit, Distribution, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
createWeightMatrix(int, int, WeightInit, Distribution, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ElementWiseParamInitializer
 
createWithPath(String) - Static method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
Creates a uima sentence iterator with the given path
createWithPath(String) - Static method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
Creates a uima sentence iterator with the given path
creds - Variable in class org.deeplearning4j.aws.s3.BaseS3
 
CrfLibrary - Class in org.ansj.library
 
CrfLibrary() - Constructor for class org.ansj.library.CrfLibrary
 
CRFModel - Class in org.ansj.app.crf.model
加载ansj格式的crfmodel,目前此model格式是通过crf++ 或者wapiti生成的
CRFModel() - Constructor for class org.ansj.app.crf.model.CRFModel
 
CRFppTxtModel - Class in org.ansj.app.crf.model
加载CRF+生成的crf文本模型,测试使用的CRF++版本为:CRF++-0.58 下载地址:https://taku910.github.io/crfpp/#download 在这里感谢作者所做的工作.
CRFppTxtModel() - Constructor for class org.ansj.app.crf.model.CRFppTxtModel
 
Cropping1D - Class in org.deeplearning4j.nn.conf.layers.convolutional
Cropping layer for convolutional (1d) neural networks.
Cropping1D(int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
Cropping1D(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
Cropping1D(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
Cropping1D(Cropping1D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
Cropping1D.Builder - Class in org.deeplearning4j.nn.conf.layers.convolutional
 
Cropping1DLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero cropping layer for 1D convolutional neural networks.
Cropping1DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
Cropping2D - Class in org.deeplearning4j.nn.conf.layers.convolutional
Cropping layer for convolutional (2d) neural networks.
Cropping2D(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
Cropping2D(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
Cropping2D(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
Cropping2D(Cropping2D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
Cropping2D.Builder - Class in org.deeplearning4j.nn.conf.layers.convolutional
 
Cropping2DLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero cropping layer for convolutional neural networks.
Cropping2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
Cropping3D - Class in org.deeplearning4j.nn.conf.layers.convolutional
Cropping layer for convolutional (3d) neural networks.
Cropping3D(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
Cropping3D(int, int, int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
Cropping3D(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
Cropping3D(Cropping3D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
Cropping3D.Builder - Class in org.deeplearning4j.nn.conf.layers.convolutional
 
Cropping3DLayer - Class in org.deeplearning4j.nn.layers.convolution
Cropping layer for 3D convolutional neural networks.
Cropping3DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
CSVReader(File) - Constructor for class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
 
CSVRecord - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 12/24/16.
CSVRecord() - Constructor for class org.deeplearning4j.nearestneighbor.model.CSVRecord
 
CSVRecordToDataSet - Class in org.deeplearning4j.streaming.conversion.dataset
Assumes csv format and converts a batch of records in to a size() x record length matrix.
CSVRecordToDataSet() - Constructor for class org.deeplearning4j.streaming.conversion.dataset.CSVRecordToDataSet
 
CSVRecordToINDArray - Class in org.deeplearning4j.streaming.conversion.ndarray
Assumes csv format and converts a batch of records in to a size() x record length matrix.
CSVRecordToINDArray() - Constructor for class org.deeplearning4j.streaming.conversion.ndarray.CSVRecordToINDArray
 
cudnnAlgoMode - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
cudnnAlgoMode(ConvolutionLayer.AlgoMode) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.
cudnnAlgoMode - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
Defaults to "PREFER_FASTEST", but "NO_WORKSPACE" uses less memory.
cudnnAlgoMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
cudnnAlgoMode(ConvolutionLayer.AlgoMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Sets the cuDNN algo mode for convolutional layers, which impacts performance and memory usage of cuDNN.
cudnnAlgoMode(ConvolutionLayer.AlgoMode) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Sets the cuDNN algo mode for convolutional layers, which impacts performance and memory usage of cuDNN.
cudnnAlgoMode - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
cudnnAllowFallback - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
cudnnAllowFallback(boolean) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user.
cudnnAllowFallback - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
cudnnAllowFallback - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
cudnnAllowFallback(boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user.
cudnnAllowFallback - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
cudnnAllowFallback - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
cudnnAllowFallback(boolean) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
When using CuDNN and an error is encountered, should fallback to the non-CuDNN implementatation be allowed? If set to false, an exception in CuDNN will be propagated back to the user.
cudnnAllowFallback - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
CudnnBatchNormalizationHelper - Class in org.deeplearning4j.nn.layers.normalization
cuDNN-based helper for the batch normalization layer.
CudnnBatchNormalizationHelper() - Constructor for class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
cudnnBwdDataAlgo - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
cudnnBwdDataAlgo - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
cudnnBwdDataMode(ConvolutionLayer.BwdDataAlgo) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
cudnnBwdFilterAlgo - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
cudnnBwdFilterAlgo - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
cudnnBwdFilterMode(ConvolutionLayer.BwdFilterAlgo) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
CudnnContext() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext
 
CudnnContext(BaseCudnnHelper.CudnnContext) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext
 
CudnnConvolutionHelper - Class in org.deeplearning4j.nn.layers.convolution
cuDNN-based helper for the convolution layer.
CudnnConvolutionHelper() - Constructor for class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
CudnnConvolutionHelper.CudnnForwardArgs - Class in org.deeplearning4j.nn.layers.convolution
 
CudnnForwardArgs() - Constructor for class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper.CudnnForwardArgs
 
cudnnFwdAlgo - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
cudnnFwdAlgo - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
cudnnFwdMode(ConvolutionLayer.FwdAlgo) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
CudnnLocalResponseNormalizationHelper - Class in org.deeplearning4j.nn.layers.normalization
cuDNN-based helper for the local response normalization layer.
CudnnLocalResponseNormalizationHelper() - Constructor for class org.deeplearning4j.nn.layers.normalization.CudnnLocalResponseNormalizationHelper
 
CudnnLSTMHelper - Class in org.deeplearning4j.nn.layers.recurrent
cuDNN-based helper for the recurrent LSTM layer (no peephole connections).
CudnnLSTMHelper() - Constructor for class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
CudnnSubsamplingHelper - Class in org.deeplearning4j.nn.layers.convolution.subsampling
cuDNN-based helper for the subsampling layer.
CudnnSubsamplingHelper() - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.CudnnSubsamplingHelper
 
cumSumBetweenPartition() - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
cumSumWithinPartition() - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
currBucket() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
currentConsumers - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
currentConsumers - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
currentFile - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
currentIterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
currentIterator - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
currentLabel() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareDocumentIterator
Returns the current label
currentLabel() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
 
currentLabel() - Method in interface org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator
Returns the current label for nextSentence()
currentLabel() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
Returns the current label for nextSentence()
currentLabels() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
 
currentLabels() - Method in interface org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareSentenceIterator
For multi label problems
currentLabels() - Method in class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
 
currentStep - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
currentThreshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
currentTimeMillis() - Method in class org.deeplearning4j.spark.time.NTPTimeSource
 
currentTimeMillis() - Method in class org.deeplearning4j.spark.time.SystemClockTimeSource
 
currentTimeMillis() - Method in interface org.deeplearning4j.spark.time.TimeSource
Get the current time in milliseconds, according to this TimeSource
currIndex - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
currLineIterator - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
cursor() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
The current cursor if applicable
cursor() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
The current cursor if applicable
cursor() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
The current cursor if applicable
cursor() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
cursor() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Direct access to a number represenative of iterating through a dataset
cursor() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
The current cursor if applicable
cursor() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
The current cursor if applicable
cursor() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
cursor() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
cursor() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
cursor() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
cursor() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
cursor - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
cursor() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
cursor() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
CUSTOM_REGISTRATION_PROPERTY - Static variable in class org.deeplearning4j.nn.conf.serde.JsonMappers
This system property is provided as an alternative to NeuralNetConfiguration.registerLegacyCustomClassesForJSON(Class[]).
CustomStemmingPreprocessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
This is StemmingPreprocessor compatible with different StemmingProcessors defined as lucene/tartarus SnowballProgram such as: RussianStemmer, DutchStemmer, FrenchStemmer etc.
CustomStemmingPreprocessor(SnowballProgram) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CustomStemmingPreprocessor
 
cut(char[]) - Method in class org.ansj.app.crf.SplitWord
 
cut(String) - Method in class org.ansj.app.crf.SplitWord
 

D

dampingFactor - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
Darknet19 - Class in org.deeplearning4j.zoo.model
Darknet19 Reference: https://arxiv.org/pdf/1612.08242.pdf
DarknetHelper - Class in org.deeplearning4j.zoo.model.helper
Contains functionality shared by Darknet19, TinyYOLO, and YOLO2.
DarknetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.DarknetHelper
 
DarknetLabels - Class in org.deeplearning4j.zoo.util.darknet
Helper class that returns label descriptions for Darknet models trained with ImageNet.
DarknetLabels() - Constructor for class org.deeplearning4j.zoo.util.darknet.DarknetLabels
Calls this(true).
DarknetLabels(boolean) - Constructor for class org.deeplearning4j.zoo.util.darknet.DarknetLabels
 
data(SparkContext) - Method in interface org.deeplearning4j.spark.data.DataSetProvider
Return an rdd of type dataset
data(SparkContext) - Method in interface org.deeplearning4j.spark.data.MultiDataSetProvider
Return an rdd of type dataset
DataCache() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache
 
DataCache(long) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache
 
DataCache(BaseCudnnHelper.DataCache) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.DataCache
 
dataFormat(Convolution3D.DataFormat) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
 
dataFormat - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
dataFormat(SpaceToDepthLayer.DataFormat) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
dataFormat - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
DataPoint - Class in org.deeplearning4j.clustering.sptree
A vector with an index and function for distance
DataPoint(int, INDArray, boolean) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
DataPoint(int, INDArray, String, boolean) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
DataPoint(int, INDArray) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
DataPoint(int, INDArray, String) - Constructor for class org.deeplearning4j.clustering.sptree.DataPoint
 
dataSet - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
DataSetCallback - Interface in org.deeplearning4j.datasets.iterator.callbacks
 
DataSetDeserializationCallback - Class in org.deeplearning4j.spark.parameterserver.callbacks
 
DataSetDeserializationCallback() - Constructor for class org.deeplearning4j.spark.parameterserver.callbacks.DataSetDeserializationCallback
 
DataSetDeserializer - Class in org.deeplearning4j.datasets.iterator.callbacks
This callback does DataSet deserialization of a given file.
DataSetDeserializer() - Constructor for class org.deeplearning4j.datasets.iterator.callbacks.DataSetDeserializer
 
DataSetExportFunction - Class in org.deeplearning4j.spark.data
A function (used in forEachPartition) to save DataSet objects to disk/HDFS.
DataSetExportFunction(URI) - Constructor for class org.deeplearning4j.spark.data.DataSetExportFunction
 
DataSetFetcher - Interface in org.deeplearning4j.datasets.iterator
Deprecated.
Retained for legacy purposes, will be removed in a future release
DataSetIteratorProviderFactory - Interface in org.deeplearning4j.parallelism.main
Create a dataset iterator.
DataSetIteratorSplitter - Class in org.deeplearning4j.datasets.iterator
This iterator virtually splits given MultiDataSetIterator into Train and Test parts.
DataSetIteratorSplitter(DataSetIterator, long, double) - Constructor for class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
DataSetLoader - Class in org.deeplearning4j.aws.dataset
 
DataSetLoader() - Constructor for class org.deeplearning4j.aws.dataset.DataSetLoader
 
DataSetLossCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Given a DataSetIterator: calculate the total loss for the model on that data set.
DataSetLossCalculator(DataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
Calculate the score (loss function value) on a given data set (usually a test set)
DataSetLossCalculator(MultiDataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
Calculate the score (loss function value) on a given data set (usually a test set)
DataSetLossCalculatorCG - Class in org.deeplearning4j.earlystopping.scorecalc
Deprecated.
Use DataSetLossCalculator instead for both MultiLayerNetwork and ComputationGraph
DataSetLossCalculatorCG(DataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
Calculate the score (loss function value) on a given data set (usually a test set)
DataSetLossCalculatorCG(MultiDataSetIterator, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
Calculate the score (loss function value) on a given data set (usually a test set)
dataSetMetaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
DataSetMetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
dataSetMetaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
DataSetMetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
dataSetMetaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataClassNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
dataSetMetaDataClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
dataSetMetaDataPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
dataSetMetaDataPresent(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
dataSetName(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
dataSetObjectSizeExamples - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
DataSetOrdering - Class in org.deeplearning4j.spark.ordering
Orders by data set size.
DataSetOrdering() - Constructor for class org.deeplearning4j.spark.ordering.DataSetOrdering
 
dataSetPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Optional DataSetPreProcessor
DataSetProvider - Interface in org.deeplearning4j.spark.data
A provider for an DataSet rdd.
DataSets - Class in org.deeplearning4j.datasets
 
dataSetStreams - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
DataSetToMultiDataSetFn - Class in org.deeplearning4j.spark.impl.graph.dataset
Convert a JavaRDD<DataSet> to a JavaRDD<MultiDataSet>
DataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.graph.dataset.DataSetToMultiDataSetFn
 
DataSetType - Enum in org.deeplearning4j.datasets.fetchers
Specify whether train, test, or validation.
dataType - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
dataTypeSize - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
dataTypeUnMarshal(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
DataVecByteDataSetFunction - Class in org.deeplearning4j.spark.datavec
 
DataVecByteDataSetFunction(int, int, int, int) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
DataVecByteDataSetFunction(int, int, int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
DataVecByteDataSetFunction(int, int, int, int, boolean, DataSetPreProcessor) - Constructor for class org.deeplearning4j.spark.datavec.DataVecByteDataSetFunction
 
DataVecDataSetFunction - Class in org.deeplearning4j.spark.datavec
Map Collection<Writable> objects (out of a datavec-spark record reader function) to DataSet objects for Spark training.
DataVecDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
DataVecDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
 
DataVecDataSetFunction(int, int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecDataSetFunction
Main constructor, including for multi-label regression
datavecMarshaller(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
DataVecRecord - Class in org.deeplearning4j.spark.datavec.iterator
 
DataVecRecord() - Constructor for class org.deeplearning4j.spark.datavec.iterator.DataVecRecord
 
DataVecRecords - Class in org.deeplearning4j.spark.datavec.iterator
 
DataVecRecords() - Constructor for class org.deeplearning4j.spark.datavec.iterator.DataVecRecords
 
DataVecSequenceDataSetFunction - Class in org.deeplearning4j.spark.datavec
Map Collection<Collection<Writable>> objects (out of a datavec-spark sequence record reader function) to DataSet objects for Spark training.
DataVecSequenceDataSetFunction(int, int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
 
DataVecSequenceDataSetFunction(int, int, boolean, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequenceDataSetFunction
 
DataVecSequencePairDataSetFunction - Class in org.deeplearning4j.spark.datavec
Map Tuple2<Collection<Collection<Writable>>,Collection<Collection<Writable>> objects (out of a TWO datavec-spark sequence record reader functions) to DataSet objects for Spark training.
DataVecSequencePairDataSetFunction() - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
Constructor for equal length and no conversion of labels (i.e., regression or already in one-hot representation).
DataVecSequencePairDataSetFunction(int, boolean) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
Constructor for equal length, no data set preprocessor or writable converter
DataVecSequencePairDataSetFunction(int, boolean, DataVecSequencePairDataSetFunction.AlignmentMode) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
Constructor for data with a specified alignment mode, no data set preprocessor or writable converter
DataVecSequencePairDataSetFunction(int, boolean, DataVecSequencePairDataSetFunction.AlignmentMode, DataSetPreProcessor, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction
 
DataVecSequencePairDataSetFunction.AlignmentMode - Enum in org.deeplearning4j.spark.datavec
Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
datavecUris - Variable in class org.deeplearning4j.BasePipeline
 
datavecUris() - Method in class org.deeplearning4j.BasePipeline
 
datavecUris() - Method in interface org.deeplearning4j.Pipeline
The datavec uris to use
datavecUris() - Method in class org.deeplearning4j.StreamingPipeline
 
DATDictionary - Class in org.ansj.library
 
DATDictionary() - Constructor for class org.ansj.library.DATDictionary
 
DBOW<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
 
DBOW() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
dbow(int, Sequence<T>, int, AtomicLong, double, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
deallocate() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext.Deallocator
 
debug - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
debugLattice(OutputStream, String) - Method in class com.atilika.kuromoji.TokenizerBase
Writes the Viterbi lattice for the provided text to an output stream
debugLongerIterations - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
debugLongerIterations - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
debugLongerIterations(long) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Deprecated.
debugLongerIterations - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
debugTokenize(OutputStream, String) - Method in class com.atilika.kuromoji.TokenizerBase
Tokenizes the provided text and outputs the corresponding Viterbi lattice and the Viterbi path to the provided output stream
decay - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
decay(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
At test time: we can use a global estimate of the mean and variance, calculated using a moving average of the batch means/variances.
decay - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
decode(byte[]) - Method in interface org.deeplearning4j.api.storage.Persistable
Decode the content of the given byte array in to this persistable
decode(ByteBuffer) - Method in interface org.deeplearning4j.api.storage.Persistable
Decode from the given ByteBuffer
decode(InputStream) - Method in interface org.deeplearning4j.api.storage.Persistable
Decode from the given input stream
decode(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(DirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
decode(byte[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(DirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(InputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
decode(DirectBuffer) - Method in interface org.deeplearning4j.ui.storage.AgronaPersistable
 
decode(byte[]) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
decode(InputStream) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
decode(byte[]) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(DirectBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(InputStream) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
decode(byte[]) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
decode(ByteBuffer) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
decode(InputStream) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
decodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
 
decodePredictions(INDArray, int) - Method in class org.deeplearning4j.zoo.util.BaseLabels
 
decodePredictions(INDArray) - Method in class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
Given predictions from the trained model this method will return a string listing the top five matches and the respective probabilities
decodePredictions(INDArray, int) - Method in interface org.deeplearning4j.zoo.util.Labels
Given predictions from the trained model this method will return a list of the top n matches and the respective probabilities.
DECODER_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
decoderLayerSizes(int...) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Size of the decoder layers, in units.
decoderLayerSizes - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
decodeUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
Deprecated.
Deconvolution2D - Class in org.deeplearning4j.nn.conf.layers
2D deconvolution layer configuration Deconvolutions are also known as transpose convolutions or fractionally strided convolutions.
Deconvolution2D(ConvolutionLayer.BaseConvBuilder<?>) - Constructor for class org.deeplearning4j.nn.conf.layers.Deconvolution2D
Deconvolution2D layer nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the channels The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size
Deconvolution2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Deconvolution2DLayer - Class in org.deeplearning4j.nn.layers.convolution
2D deconvolution layer implementation.
Deconvolution2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
Deconvolution2DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
DeconvolutionParamInitializer - Class in org.deeplearning4j.nn.params
 
DeconvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DeconvolutionParamInitializer
 
DecoratorAccordion - Class in org.deeplearning4j.ui.components.decorator
Accordion decorator component: i.e., create an accordion (i.e., collapseable componenet) with multiple sub-components internally Current implementation supports only one accordion section
DecoratorAccordion() - Constructor for class org.deeplearning4j.ui.components.decorator.DecoratorAccordion
 
DecoratorAccordion.Builder - Class in org.deeplearning4j.ui.components.decorator
 
DeepLearningException - Exception in org.deeplearning4j.exception
 
DeepLearningException() - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(String, Throwable, boolean, boolean) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(String) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepLearningException(Throwable) - Constructor for exception org.deeplearning4j.exception.DeepLearningException
 
DeepWalk<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
Implementation of the DeepWalk graph vectorization model, based on the paper DeepWalk: Online Learning of Social Representations by Perozzi, Al-Rfou & Skiena (2014), http://arxiv.org/abs/1403.6652
Similar to word2vec in nature, DeepWalk is an unsupervised learning algorithm that learns a vector representation of each vertex in a graph.
DeepWalk() - Constructor for class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
DeepWalk.Builder<V,E> - Class in org.deeplearning4j.graph.models.deepwalk
 
DEFAULT - Static variable in class org.ansj.library.AmbiguityLibrary
 
DEFAULT - Static variable in class org.ansj.library.CrfLibrary
 
DEFAULT - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT - Static variable in class org.ansj.library.StopLibrary
 
DEFAULT - Static variable in class org.ansj.library.SynonymsLibrary
 
DEFAULT_ALPHA - Static variable in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
DEFAULT_AMI - Static variable in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
DEFAULT_BASE_RETR_DELAY_MS - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Base delay for retries
DEFAULT_BATCH_LIMIT - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_CHART_MARGIN_BOTTOM - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CHART_MARGIN_LEFT - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CHART_MARGIN_RIGHT - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_CHART_MARGIN_TOP - Static variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
DEFAULT_DELIMITER - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
DEFAULT_EDGE_VALUE - Static variable in class org.deeplearning4j.eval.Evaluation
 
DEFAULT_EDGE_VALUE - Static variable in class org.deeplearning4j.eval.EvaluationBinary
 
DEFAULT_EPS - Static variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
DEFAULT_EPSILON - Static variable in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
DEFAULT_EVAL_SCORE_BATCH_SIZE - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
DEFAULT_FLATTENING_ORDER - Static variable in class org.deeplearning4j.nn.gradient.DefaultGradient
 
DEFAULT_FORMAT_PREC - Static variable in class org.deeplearning4j.eval.curves.BaseCurve
 
DEFAULT_FREQ - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT_FREQ_STR - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT_HISTOGRAM_NUM_BINS - Static variable in class org.deeplearning4j.eval.EvaluationCalibration
 
DEFAULT_INFERENCE_MODE - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_LAMBDA - Static variable in class org.deeplearning4j.nn.conf.dropout.AlphaDropout
 
DEFAULT_LANGUAGE - Static variable in class org.deeplearning4j.ui.i18n.DefaultI18N
 
DEFAULT_MAX_CHART_POINTS - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
 
DEFAULT_MAX_RETRIES - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Default maximum number of (consecutive) retries on failure
DEFAULT_MAX_TIMELINE_SIZE_MS - Static variable in class org.deeplearning4j.spark.stats.StatsUtils
 
DEFAULT_NATURE - Static variable in class org.ansj.library.DicLibrary
 
DEFAULT_NTP_SERVER - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
DEFAULT_NTP_TIMEOUT_MS - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
DEFAULT_NUM_WORKERS - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_PATH - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Default path for posting data to the UI - i.e., http://localhost:9000/remoteReceive or similar
DEFAULT_PATTERN - Static variable in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.EvaluationBinary
 
DEFAULT_PRECISION - Static variable in class org.deeplearning4j.eval.RegressionEvaluation
 
DEFAULT_PRINT_FORMAT - Static variable in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Default formatter used for SparkTrainingStats.statsAsString()
DEFAULT_PRIOR_BOXES - Static variable in class org.deeplearning4j.zoo.model.YOLO2
Default prior boxes for the model
DEFAULT_QUEUE_LIMIT - Static variable in class org.deeplearning4j.parallelism.ParallelInference
 
DEFAULT_RATE - Static variable in class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
 
DEFAULT_RELIABILITY_DIAG_NUM_BINS - Static variable in class org.deeplearning4j.eval.EvaluationCalibration
 
DEFAULT_REPORTING_FREQUENCY - Static variable in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
DEFAULT_RESHAPE_ORDER - Static variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
DEFAULT_RETRY_BACKOFF_FACTOR - Static variable in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Default backoff multiplicative factor for retrying
DEFAULT_ROC_THRESHOLD_STEPS - Static variable in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
DEFAULT_ROC_THRESHOLD_STEPS - Static variable in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
DEFAULT_STATS_PRECISION - Static variable in class org.deeplearning4j.eval.ROCBinary
 
DEFAULT_STATS_PRECISION - Static variable in class org.deeplearning4j.eval.ROCMultiClass
 
DEFAULT_TIMESOURCE_CLASS_NAME - Static variable in class org.deeplearning4j.spark.time.TimeSourceProvider
Default class to use when getting a TimeSource instance
DEFAULT_UI_PORT - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
 
DEFAULT_UNK - Static variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
DEFAULT_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
DEFAULT_WEIGHT_INIT_ORDER - Static variable in class org.deeplearning4j.nn.weights.WeightInitUtil
Default order for the arrays created by WeightInitUtil.
defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
defaultAnalysisEngine() - Static method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
Creates a tokenization,/stemming pipeline
DefaultCallback - Class in org.deeplearning4j.datasets.iterator.callbacks
This callback ensures that memory on device is up-to-date with host memory.
DefaultCallback() - Constructor for class org.deeplearning4j.datasets.iterator.callbacks.DefaultCallback
 
defaultConfiguration - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
defaultConfiguration - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
defaultDeserializer - Variable in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
DefaultGradient - Class in org.deeplearning4j.nn.gradient
Default gradient implementation.
DefaultGradient() - Constructor for class org.deeplearning4j.nn.gradient.DefaultGradient
 
DefaultGradient(INDArray) - Constructor for class org.deeplearning4j.nn.gradient.DefaultGradient
 
DefaultI18N - Class in org.deeplearning4j.ui.i18n
Default internationalization implementation.
Content for internationalization is implemented using resource files.
For the resource files: they should be specified as follows:
1.
defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
defaultIncludeInPlots(String) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
When plotting statistics, we don't necessarily want to plot everything.
defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
defaultIncludeInPlots(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
DefaultInputStreamCreator - Class in org.deeplearning4j.bagofwords.vectorizer
Created by agibsonccc on 10/20/14.
DefaultInputStreamCreator(DocumentIterator) - Constructor for class org.deeplearning4j.bagofwords.vectorizer.DefaultInputStreamCreator
 
defaultIterationCount - Static variable in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
DefaultModule - Class in org.deeplearning4j.ui.module.defaultModule
Landing page - i.e., "/" route
DefaultModule() - Constructor for class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
defaultNoWorkspace() - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Set the default to be scoped out for all array types.
DefaultParamInitializer - Class in org.deeplearning4j.nn.params
Static weight initializer with just a weight matrix and a bias
DefaultParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DefaultParamInitializer
 
DefaultStatsInitializationConfiguration - Class in org.deeplearning4j.ui.stats.impl
Created by Alex on 07/10/2016.
DefaultStatsInitializationConfiguration() - Constructor for class org.deeplearning4j.ui.stats.impl.DefaultStatsInitializationConfiguration
 
DefaultStatsUpdateConfiguration - Class in org.deeplearning4j.ui.stats.impl
Created by Alex on 07/10/2016.
DefaultStatsUpdateConfiguration.Builder - Class in org.deeplearning4j.ui.stats.impl
 
DefaultStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Default step function
DefaultStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
 
DefaultStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Default step function
DefaultStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction
 
DefaultStreamTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Tokenizer based on the StreamTokenizer
DefaultStreamTokenizer(InputStream) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
 
DefaultTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Default tokenizer
DefaultTokenizer(String) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
DefaultTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Default tokenizer based on string tokenizer or stream tokenizer
DefaultTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
 
DefaultTrainer - Class in org.deeplearning4j.parallelism.trainer
Trains datasets using a standard in memory parameter averaging technique.
DefaultTrainer() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
DefaultTrainer.DefaultTrainerBuilder - Class in org.deeplearning4j.parallelism.trainer
 
DefaultTrainerBuilder() - Constructor for class org.deeplearning4j.parallelism.trainer.DefaultTrainer.DefaultTrainerBuilder
 
DefaultTrainerContext - Class in org.deeplearning4j.parallelism.factory
Creates DefaultTrainer instances for use with ParallelWrapper
DefaultTrainerContext() - Constructor for class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
 
defaultVals - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
defaultWorkspace(String, WorkspaceConfiguration) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Set the default workspace for all array types to the specified workspace name/configuration NOTE: This will NOT override any settings previously set.
defineLayer(SameDiff, SDVariable, Map<String, SDVariable>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
defineParameters(SDLayerParams) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
Define the parameters for the network.
delete(String, String) - Static method in class org.ansj.library.DicLibrary
删除关键词
delete(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
 
deleteInvalidDataSets(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate DataSet objects - and delete any invalid DataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidDataSets(JavaSparkContext, String, int[], int[]) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate DataSet objects - and delete any invalid DataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidMultiDataSets(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects - and delete any invalid MultiDataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidMultiDataSets(JavaSparkContext, String, List<int[]>, List<int[]>) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects - and delete any invalid MultiDataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteInvalidMultiDataSets(JavaSparkContext, String, int, int) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects - and delete any invalid MultiDataSets - that have been previously saved to the specified directory on HDFS by attempting to load them and checking their contents.
deleteTempDir(JavaSparkContext, String) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
deleteTempFiles(JavaSparkContext) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Attempt to delete any temporary files generated by this TrainingMaster.
deleteTempFiles(SparkContext) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Attempt to delete any temporary files generated by this TrainingMaster.
deleteTempFiles(JavaSparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
deleteTempFiles(SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
DelimitedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
A simple line processor, for data in the format 01\n 30\n etc.
DelimitedEdgeLineProcessor(String, boolean) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
 
DelimitedEdgeLineProcessor(String, boolean, String...) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
 
DelimitedVertexLoader - Class in org.deeplearning4j.graph.data.impl
Load vertex information, one per line of form "0Some text attribute/label"
DelimitedVertexLoader(String) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
 
DelimitedVertexLoader(String, String...) - Constructor for class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
 
deltaGCCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMs() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMs(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaGCTimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
deltaGCTimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
deltaTime() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTime(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
deltaTimeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
deltaTimeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
deltaTimeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
deltaTimeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
denseCounter - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
DenseLayer - Class in org.deeplearning4j.nn.conf.layers
Dense layer: fully connected feed forward layer trainable by backprop.
DenseLayer - Class in org.deeplearning4j.nn.layers.feedforward.dense
 
DenseLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
DenseLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
DenseLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
depth() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
The depth of the node
depth() - Method in class org.deeplearning4j.clustering.sptree.SpTree
The depth of the node
depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
depth - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
depth() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Finds the channels of the tree.
depth(Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the distance between this node and the specified subnode
DEPTH_WISE_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
depthMultiplier - Variable in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
depthMultiplier(int) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
Set channels multiplier for depth-wise convolution
depthMultiplier - Variable in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
depthMultiplier(int) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
Set channels multiplier of channels-wise step in separable convolution
DepthwiseConvolution2D - Class in org.deeplearning4j.nn.conf.layers
2D depth-wise convolution layer configuration.
DepthwiseConvolution2D(DepthwiseConvolution2D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
DepthwiseConvolution2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
DepthwiseConvolution2DLayer - Class in org.deeplearning4j.nn.layers.convolution
2D depth-wise convolution layer configuration.
DepthwiseConvolution2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
DepthwiseConvolution2DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
DepthwiseConvolutionParamInitializer - Class in org.deeplearning4j.nn.params
Initialize depth-wise convolution parameters.
DepthwiseConvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
deregisterStatsStorageListener(StatsStorageListener) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Remove the specified listener, if it is present.
deregisterStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
deregisterStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
deriveClusterInfoDistanceStatistics(ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.eval.serde.ConfusionMatrixDeserializer
 
deserialize(String) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory
This method builds object from provided JSON
deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
This method builds object from provided JSON
deserialize(String) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
This method builds object from provided JSON
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.distribution.serde.LegacyDistributionDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.ComputationGraphConfigurationDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyIntArrayDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.MultiLayerConfigurationDeserializer
 
deserialize(JsonParser, DeserializationContext) - Method in class org.deeplearning4j.spark.util.serde.StorageLevelDeserializer
 
destroy() - Method in class org.deeplearning4j.text.annotator.PoStagger
Releases allocated resources.
destroy() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
Releases allocated resources.
destroyHandles() - Method in class org.deeplearning4j.nn.layers.BaseCudnnHelper.CudnnContext
 
detach(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
Detach the specified StatsStorage instance from the UI
detach(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
DetectedObject - Class in org.deeplearning4j.nn.layers.objdetect
A detected object, by an object detection algorithm.
DetectedObject(int, double, double, double, double, INDArray, double) - Constructor for class org.deeplearning4j.nn.layers.objdetect.DetectedObject
 
determinationCoefficient(double[], double[], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the determination coefficient of two vectors given a length
determineKerasBackend(Map<String, Object>, KerasModelConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Determine Keras backend
determineKerasMajorVersion(Map<String, Object>, KerasModelConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Determine Keras major version
deviceDescription() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescription(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceDescriptionLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceDescriptionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
deviceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
deviceMemoryMax() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMax(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryMaxId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryMaxMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
deviceMemoryMaxNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
deviceMemoryMaxNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
DeviceMetric - Class in org.deeplearning4j.perf.listener
 
diag(INDArray) - Method in class org.deeplearning4j.plot.Tsne
 
DicAnalysis - Class in org.ansj.splitWord.analysis
默认用户自定义词性优先
DicAnalysis() - Constructor for class org.ansj.splitWord.analysis.DicAnalysis
 
DicAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.DicAnalysis
 
DicLibrary - Class in org.ansj.library
 
DicLibrary() - Constructor for class org.ansj.library.DicLibrary
 
DicReader - Class in org.ansj.dic
加载词典用的类
DicReader() - Constructor for class org.ansj.dic.DicReader
 
DicRecognition - Class in org.ansj.recognition.impl
用户自定词典识别 多本词典加入后将不再具有先后顺序,合并后统一规划.如果需要先后顺序请分别每个词典调用 Result.Recognition().Recognition() 这种方式 TODO:这种写灵活性是够了,但是速度不咋地.发愁........该不该这么写.先保留吧..也许在下一个版本中来做把
DicRecognition() - Constructor for class org.ansj.recognition.impl.DicRecognition
 
DicRecognition(String[]) - Constructor for class org.ansj.recognition.impl.DicRecognition
 
DicRecognition(Forest[]) - Constructor for class org.ansj.recognition.impl.DicRecognition
 
DicRecognition(Forest) - Constructor for class org.ansj.recognition.impl.DicRecognition
 
Dictionary - Interface in com.atilika.kuromoji.dict
 
DictionaryCompiler - Class in com.atilika.kuromoji.ipadic.compile
 
DictionaryCompiler() - Constructor for class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
 
DictionaryCompilerBase - Class in com.atilika.kuromoji.compile
 
DictionaryCompilerBase() - Constructor for class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
dictionaryEntries - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
dictionaryEntries - Variable in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
DictionaryEntry - Class in com.atilika.kuromoji.ipadic.compile
 
DictionaryEntry(String[]) - Constructor for class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
DictionaryEntryBase - Class in com.atilika.kuromoji.dict
 
DictionaryEntryBase(String, short, short, short) - Constructor for class com.atilika.kuromoji.dict.DictionaryEntryBase
 
DictionaryEntryLineParser - Class in com.atilika.kuromoji.util
 
DictionaryEntryLineParser() - Constructor for class com.atilika.kuromoji.util.DictionaryEntryLineParser
 
DictionaryField - Class in com.atilika.kuromoji.dict
 
DictionaryField() - Constructor for class com.atilika.kuromoji.dict.DictionaryField
 
dictionaryMap - Variable in class com.atilika.kuromoji.TokenizerBase
 
difference(Collection<? extends T>, Collection<? extends T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
Return is s1 \ s2
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
Set dilation size for 3D convolutions in (depth, height, width) order
dilation - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
Kernel dilation.
dilation - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
dilation(int...) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
Kernel dilation.
dilation - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
dimension - Variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
dimensions - Variable in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
dimOrder - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
DIRECT_ROUTE - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayConsumer
 
DIRECT_ROUTE - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
 
disableLogging() - Static method in class org.deeplearning4j.text.movingwindow.Util
 
disableRemoteListener() - Method in class org.deeplearning4j.ui.api.UIServer
Disable the remote listener functionality (disabled by default)
disableRemoteListener() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
discretize(double, double, double, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Discretize the given value
DiskBasedQueue<E> - Class in org.deeplearning4j.util
Naive disk based queue for storing items on disk.
DiskBasedQueue() - Constructor for class org.deeplearning4j.util.DiskBasedQueue
 
DiskBasedQueue(String) - Constructor for class org.deeplearning4j.util.DiskBasedQueue
 
DiskBasedQueue(File) - Constructor for class org.deeplearning4j.util.DiskBasedQueue
 
DiskInfo - Class in org.deeplearning4j.perf.listener
 
dist - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
dist(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Distribution to sample initial weights from.
dist - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
dist - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
dist(Distribution) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Distribution to sample initial weights from.
dist(Distribution) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Distribution to sample initial weights from.
dist - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
distance(DataPoint) - Method in class org.deeplearning4j.clustering.sptree.DataPoint
Euclidean distance
distance(INDArray, INDArray) - Method in class org.deeplearning4j.clustering.vptree.VPTree
Euclidean distance
distanceFinderZValue(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will translate a vector in to an equivalent integer
distanceFunction - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
distRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
distRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
DistributedDeepLearningTrainer - Class in org.deeplearning4j.aws.ec2.provision
 
DistributedFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
DistributedFunction(Broadcast<VoidConfiguration>, Broadcast<VectorsConfiguration>, Broadcast<VocabCache<ShallowSequenceElement>>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
Distribution - Class in org.deeplearning4j.nn.conf.distribution
An abstract distribution.
Distribution() - Constructor for class org.deeplearning4j.nn.conf.distribution.Distribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
distributionInputSize(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
distributionInputSize(int) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Get the number of distribution parameters for the given input data size.
Distributions - Class in org.deeplearning4j.nn.conf.distribution
Static method for instantiating an nd4j distribution from a configuration object.
distributionVariationRateLessThan(double) - Static method in class org.deeplearning4j.clustering.condition.ConvergenceCondition
 
DL4J_DIR - Static variable in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
DL4JException - Exception in org.deeplearning4j.exception
Base exception for DL4J
DL4JException() - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JException(String) - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JException
 
DL4JInvalidConfigException - Exception in org.deeplearning4j.exception
Exception signifying that the specified configuration is invalid
DL4JInvalidConfigException() - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidConfigException(String) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidConfigException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidConfigException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidConfigException
 
DL4JInvalidInputException - Exception in org.deeplearning4j.exception
DL4J Exception thrown when invalid input is provided (wrong rank, wrong size, etc)
DL4JInvalidInputException() - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
DL4JInvalidInputException(String) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
DL4JInvalidInputException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
DL4JInvalidInputException(Throwable) - Constructor for exception org.deeplearning4j.exception.DL4JInvalidInputException
 
Dl4jReflection - Class in org.deeplearning4j.util
 
DL4jServeRouteBuilder - Class in org.deeplearning4j.streaming.routes
Serve results from a kafka queue.
DL4jServeRouteBuilder() - Constructor for class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
DM<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.sequence
DM implementation for DeepLearning4j
DM() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
dm(int, Sequence<T>, int, AtomicLong, double, List<T>, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Do backward pass
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
doBackward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns number of documents (if applicable) the label was observed in.
docAppearedIn(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
docAppearedIn(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Count of documents a word appeared in
docFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
docIter - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
docIter - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
docs() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over documents
document(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of words for a document
documentIterator - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
DocumentIterator - Interface in org.deeplearning4j.text.documentiterator
Document Iterator: iterate over input streams
DocumentIteratorConverter - Class in org.deeplearning4j.text.documentiterator.interoperability
Simple class providing compatibility between DocumentIterator/LabelAwareDocumentIterator and LabelAwareIterator
DocumentIteratorConverter(LabelAwareDocumentIterator) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
DocumentIteratorConverter(DocumentIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
documentPosition - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
documents(T) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns the list of documents a vocab word is in
DocumentSequenceConvertFunction - Class in org.deeplearning4j.spark.models.paragraphvectors.functions
 
DocumentSequenceConvertFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.paragraphvectors.functions.DocumentSequenceConvertFunction
 
documentWithLabel(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of words for a document and the associated label
documentWithLabels(int) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns a list of words associated with the document and the associated labels
doEvaluation(DataSetIterator, T...) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method executes evaluation of the model against given iterator and evaluation implementations
doEvaluation(MultiDataSetIterator, T...) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method executes evaluation of the model against given iterator and evaluation implementations
doEvaluation(DataSetIterator, T...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Perform evaluation on the given data (DataSetIterator) with the given IEvaluation instance
doEvaluation(MultiDataSetIterator, T...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Perform evaluation on the given data (MultiDataSetIterator) with the given IEvaluation instance
doEvaluation(DataSetIterator, T...) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform evaluation using an arbitrary IEvaluation instance.
doEvaluation(MultiDataSetIterator, T[]) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
doEvaluation(JavaRDD<DataSet>, T, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation of any type of IEvaluation.
doEvaluation(JavaRDD<DataSet>, int, T...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation on a single output ComputationGraph form DataSet objects using Spark.
doEvaluation(JavaRDD<DataSet>, T, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform distributed evaluation of any type of IEvaluation.
doEvaluation(JavaRDD<DataSet>, int, T...) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform distributed evaluation of any type of IEvaluation - or multiple IEvaluation instances.
doEvaluationMDS(JavaRDD<MultiDataSet>, int, T...) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform distributed evaluation on a single output ComputationGraph form MultiDataSet objects using Spark.
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Do forward pass using the stored inputs
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
doForward(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
doInit() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
doIteration(SparkDl4jMultiLayer, JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIteration(SparkComputationGraph, JavaRDD<MultiDataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIteration(SparkDl4jMultiLayer, JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIteration(SparkComputationGraph, JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationMDS(SparkComputationGraph, JavaRDD<MultiDataSet>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationMultiPDS(SparkComputationGraph, JavaRDD<PortableDataStream>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationPaths(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<String>, int, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIterationPaths(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<String>, int, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationPathsMDS(SparkComputationGraph, JavaRDD<String>, int, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIterationPathsMDS(SparkComputationGraph, JavaRDD<String>, int, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationPDS(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<PortableDataStream>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
doIterationPDS(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<PortableDataStream>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
doIterationPDS_MDS(SparkComputationGraph, JavaRDD<PortableDataStream>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
dot(double[], double[]) - Static method in class org.ansj.util.MatrixUtil
 
dot(float[], float[]) - Static method in class org.ansj.util.MatrixUtil
 
doTruncatedBPTT(INDArray[], INDArray[], INDArray[], INDArray[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the network using truncated BPTT
doTruncatedBPTT(INDArray, INDArray, INDArray, INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
DOUBLE_ARRAY_TRIE_FILENAME - Static variable in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
doubleArrayTrie - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
DoubleArrayTrie - Class in com.atilika.kuromoji.trie
 
DoubleArrayTrie() - Constructor for class com.atilika.kuromoji.trie.DoubleArrayTrie
 
DoubleArrayTrie(boolean) - Constructor for class com.atilika.kuromoji.trie.DoubleArrayTrie
 
DoubleArrayTrieCompiler - Class in com.atilika.kuromoji.compile
 
DoubleArrayTrieCompiler() - Constructor for class com.atilika.kuromoji.compile.DoubleArrayTrieCompiler
 
DoublesDataSetIterator - Class in org.deeplearning4j.datasets.iterator
 
DoublesDataSetIterator(Iterable<Pair<double[], double[]>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.DoublesDataSetIterator
 
download(String, String, File) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
 
download(String, String, OutputStream) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
 
downloadAndExtract() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
downloadAndExtract(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
Downloads and extracts the local dataset.
downloadAndUntar() - Static method in class com.atilika.kuromoji.util.KuromojiBinFilesFetcher
 
downloadAndUntar() - Method in class org.deeplearning4j.base.MnistFetcher
 
downloadFolder(String, String, File) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
 
drainTo(Collection<? super E>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
drainTo(Collection<? super E>, int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
drainTo(Collection<? super T>) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
drainTo(Collection<? super T>, int) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
driver - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
driver - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
DropConnect - Class in org.deeplearning4j.nn.conf.weightnoise
DropConnect, based on Wan et.
DropConnect(double) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.DropConnect
 
DropConnect(double, boolean) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.DropConnect
 
DropConnect(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.DropConnect
 
DropConnect(ISchedule, boolean) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.DropConnect
 
Dropout - Class in org.deeplearning4j.nn.conf.dropout
Implements standard (inverted) dropout.

Regarding dropout probability.
Dropout(double) - Constructor for class org.deeplearning4j.nn.conf.dropout.Dropout
 
Dropout(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.Dropout
 
Dropout(double, ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.Dropout
 
dropOut(double) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Dropout probability.
dropOut(IDropout) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Set the dropout for all layers in this network
dropOut(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Dropout probability.
dropOut(IDropout) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set the dropout for all layers in this network
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
DROPOUT - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
dropout - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
dropout(IDropout) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Set the dropout
dropOut(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Dropout probability.
dropout - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
dropoutApplied - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
DropoutLayer - Class in org.deeplearning4j.nn.conf.layers
 
DropoutLayer - Class in org.deeplearning4j.nn.layers
Created by davekale on 12/7/16.
DropoutLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.DropoutLayer
 
DropoutLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.DropoutLayer
 
DropoutLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
dropoutMask - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
ds - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
ds - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
dsIterator - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
dummyBias - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
dummyBiasGrad - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
DummyPreProcessor - Class in org.deeplearning4j.datasets.iterator
This is special dummy preProcessor, that does nothing.
DummyPreProcessor() - Constructor for class org.deeplearning4j.datasets.iterator.DummyPreProcessor
 
DuplicateToTimeSeriesVertex - Class in org.deeplearning4j.nn.conf.graph.rnn
DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of duplication.
DuplicateToTimeSeriesVertex(String) - Constructor for class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
DuplicateToTimeSeriesVertex - Class in org.deeplearning4j.nn.graph.vertex.impl.rnn
DuplicateToTimeSeriesVertex is a vertex that goes from 2d activations to a 3d time series activations, by means of duplication.
DuplicateToTimeSeriesVertex(ComputationGraph, String, int, String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
DuplicateToTimeSeriesVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
durationMs - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 

E

E - Static variable in class org.ansj.app.crf.Config
 
E - Static variable in class org.ansj.util.Graph
 
eachDoc(Function<List<T>, Void>, Executor) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over each document
eachDocWithLabel(Function<Pair<List<T>, String>, Void>, Executor) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over each document with a label
eachDocWithLabels(Function<Pair<List<T>, Collection<String>>, Void>, Executor) - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterate over each document with a label
EarlyStoppingConfiguration<T extends Model> - Class in org.deeplearning4j.earlystopping
Early stopping configuration: Specifies the various configuration options for running training with early stopping.
Users need to specify the following:
(a) EarlyStoppingModelSaver: How models will be saved (to disk, to memory, etc) (Default: in memory)
(b) Termination conditions: at least one termination condition must be specified
(i) Iteration termination conditions: calculated once for each minibatch.
EarlyStoppingConfiguration.Builder<T extends Model> - Class in org.deeplearning4j.earlystopping
 
EarlyStoppingGraphTrainer - Class in org.deeplearning4j.earlystopping.trainer
Class for conducting early stopping training locally (single machine).
Can be used to train a ComputationGraph
EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer
 
EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, DataSetIterator, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer
Constructor for training using a DataSetIterator
EarlyStoppingGraphTrainer(EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, MultiDataSetIterator, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer
Constructor for training using a MultiDataSetIterator
EarlyStoppingListener<T extends Model> - Interface in org.deeplearning4j.earlystopping.listener
EarlyStoppingListener is a listener interface for conducting early stopping training.
EarlyStoppingModelSaver<T extends Model> - Interface in org.deeplearning4j.earlystopping
Interface for saving MultiLayerNetworks learned during early stopping, and retrieving them again later
EarlyStoppingParallelTrainer<T extends Model> - Class in org.deeplearning4j.parallelism
Conduct parallel early stopping training with ParallelWrapper under the hood.
Can be used to train a MultiLayerNetwork or a ComputationGraph via early stopping.
EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, int, int, int) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>, int, int, int) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
EarlyStoppingParallelTrainer(EarlyStoppingConfiguration<T>, T, DataSetIterator, MultiDataSetIterator, EarlyStoppingListener<T>, int, int, int, boolean, boolean) - Constructor for class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
EarlyStoppingResult<T extends Model> - Class in org.deeplearning4j.earlystopping
EarlyStoppingResult: contains the results of the early stopping training, such as: - Why the training was terminated - Score vs.
EarlyStoppingResult(EarlyStoppingResult.TerminationReason, String, Map<Integer, Double>, int, double, int, T) - Constructor for class org.deeplearning4j.earlystopping.EarlyStoppingResult
 
EarlyStoppingResult.TerminationReason - Enum in org.deeplearning4j.earlystopping
 
EarlyStoppingTrainer - Class in org.deeplearning4j.earlystopping.trainer
Class for conducting early stopping training locally (single machine), for training a MultiLayerNetwork.
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerConfiguration, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
 
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
 
EarlyStoppingTrainer(EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, DataSetIterator, EarlyStoppingListener<MultiLayerNetwork>) - Constructor for class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
 
EarlyTerminationDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Builds an iterator that terminates once the number of minibatches returned with .next() is equal to a specified number Note that a call to .next(num) is counted as a call to return a minibatch regardless of the value of num This essentially restricts the data to this specified number of minibatches.
EarlyTerminationDataSetIterator(DataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
Constructor takes the iterator to wrap and the number of minibatches after which the call to hasNext() will return false
EarlyTerminationMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Builds an iterator that terminates once the number of minibatches returned with .next() is equal to a specified number Note that a call to .next(num) is counted as a call to return a minibatch regardless of the value of num This essentially restricts the data to this specified number of minibatches.
EarlyTerminationMultiDataSetIterator(MultiDataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
Constructor takes the iterator to wrap and the number of minibatches after which the call to hasNext() will return false
Ec2BoxCreator - Class in org.deeplearning4j.aws.ec2
Creates Ec2Boxes
Ec2BoxCreator(int, String, String, String) - Constructor for class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
Ec2BoxCreator(String, int, String, String, String) - Constructor for class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
Edge<T> - Class in org.deeplearning4j.graph.api
Edge in a graph.
Edge(int, int, T, boolean) - Constructor for class org.deeplearning4j.graph.api.Edge
 
Edge<T extends Number> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives
Edge in a graph.
Edge(int, int, T, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
 
EdgeLineProcessor<E> - Interface in org.deeplearning4j.graph.data
EdgeLineProcessor is used during data loading from a file, where each edge is on a separate line
Provides flexibility in loading graphs with arbitrary objects/properties that can be represented in a text format Can also be used handle conversion of edges between non-numeric vertices to an appropriate numbered format
effectiveKernelSize(int[], int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
ela - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
ela - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
Element - Class in org.ansj.app.crf.pojo
 
Element(char) - Constructor for class org.ansj.app.crf.pojo.Element
 
Element(Character, int) - Constructor for class org.ansj.app.crf.pojo.Element
 
element() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
element() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
element() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
elementAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns SequenceElement at specified index
elementAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
elementAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns SequenceElement at the given index or null
elementFrequency - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
elements - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
elementsFreqAccum - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
elementsFreqAccumExtra - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
ElementsFrequenciesAccumulator - Class in org.deeplearning4j.spark.models.sequencevectors.functions
Accumulator for elements count
ElementsFrequenciesAccumulator() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
ElementsLearningAlgorithm<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.learning
Implementations of this interface should contain element-related learning algorithms.
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
elementsLearningAlgorithm(ElementsLearningAlgorithm<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
elementsLearningAlgorithm(ElementsLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
elementsLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
* Sets specific LearningAlgorithm as Elements Learning Algorithm
elementsLearningAlgorithm(ElementsLearningAlgorithm<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
* Sets specific LearningAlgorithm as Elements Learning Algorithm
elementsLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
elementsLearningAlgorithm(String) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
elementsLearningAlgorithm(ElementsLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
elementsLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
elementsLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
elementsLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
elementsMap - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
ElementWiseMultiplicationLayer - Class in org.deeplearning4j.nn.conf.layers.misc
Elementwise multiplication layer with weights: implements out = activationFn(input .* w + b) where:
- w is a learnable weight vector of length nOut
- ".*" is element-wise multiplication
- b is a bias vector

Note that the input and output sizes of the element-wise layer are the same for this layer
ElementWiseMultiplicationLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
ElementWiseMultiplicationLayer(ElementWiseMultiplicationLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
ElementWiseMultiplicationLayer - Class in org.deeplearning4j.nn.layers.feedforward.elementwise
Elementwise multiplication layer with weights: implements out = activationFn(input .* w + b) where:
- w is a learnable weight vector of length nOut
- ".*" is element-wise multiplication
- b is a bias vector

Note that the input and output sizes of the element-wise layer are the same for this layer
ElementWiseMultiplicationLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer
 
ElementWiseMultiplicationLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer
 
ElementWiseMultiplicationLayer.Builder - Class in org.deeplearning4j.nn.conf.layers.misc
 
ElementWiseParamInitializer - Class in org.deeplearning4j.nn.params
created by jingshu
ElementWiseParamInitializer() - Constructor for class org.deeplearning4j.nn.params.ElementWiseParamInitializer
 
ElementWiseVertex - Class in org.deeplearning4j.nn.conf.graph
An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner
For example, the activations may be combined by addition, subtraction or multiplication or by selecting the maximum.
ElementWiseVertex(ElementWiseVertex.Op) - Constructor for class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
ElementWiseVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
An ElementWiseVertex is used to combine the activations of two or more layer in an element-wise manner
For example, the activations may be combined by addition, subtraction or multiplication or by selecting the maximum.
ElementWiseVertex(ComputationGraph, String, int, ElementWiseVertex.Op) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
ElementWiseVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], ElementWiseVertex.Op) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
ElementWiseVertex.Op - Enum in org.deeplearning4j.nn.conf.graph
 
ElementWiseVertex.Op - Enum in org.deeplearning4j.nn.graph.vertex.impl
 
EmailRecognition - Class in org.ansj.recognition.impl
电子邮箱抽取
EmailRecognition() - Constructor for class org.ansj.recognition.impl.EmailRecognition
 
EmbeddedStemmingPreprocessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
This tokenizer preprocessor uses given preprocessor + does english Porter stemming on tokens on top of it
EmbeddedStemmingPreprocessor(TokenPreProcess) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EmbeddedStemmingPreprocessor
 
EmbeddingLayer - Class in org.deeplearning4j.nn.conf.layers
Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1) as input.
EmbeddingLayer - Class in org.deeplearning4j.nn.layers.feedforward.embedding
Embedding layer: feed-forward layer that expects single integers per example as input (class numbers, in range 0 to numClass-1) as input.
EmbeddingLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
EmbeddingLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
EmbeddingSequenceLayer - Class in org.deeplearning4j.nn.conf.layers
Embedding layer for sequences: feed-forward layer that expects fixed-length number (inputLength) of integers/indices per example as input, ranged from 0 to numClasses - 1.
EmbeddingSequenceLayer - Class in org.deeplearning4j.nn.layers.feedforward.embedding
Embedding layer for sequences: feed-forward layer that expects fixed-length number (inputLength) of integers/indices per example as input, ranged from 0 to numClasses - 1.
EmbeddingSequenceLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
EmbeddingSequenceLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
EMNIST_ROOT - Static variable in class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
 
EmnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers
Data fetcher for the EMNIST dataset
EmnistDataFetcher(EmnistDataSetIterator.Set, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
 
EmnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
EMNIST DataSetIterator
EMNIST is similar to the common MNIST dataset (available via MnistDataSetIterator), with 6 different splits/ variants, specified by EmnistDataSetIterator.Set:
COMPLETE: Also known as 'ByClass' split.
EmnistDataSetIterator(EmnistDataSetIterator.Set, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
EmnistDataSetIterator(EmnistDataSetIterator.Set, int, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
EmnistDataSetIterator(EmnistDataSetIterator.Set, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
EmnistDataSetIterator.Set - Enum in org.deeplearning4j.datasets.iterator.impl
EMNIST dataset has multiple different subsets.
EmnistFetcher - Class in org.deeplearning4j.base
Downloader for EMNIST dataset
EmnistFetcher(EmnistDataSetIterator.Set) - Constructor for class org.deeplearning4j.base.EmnistFetcher
 
EMPTY_BYTES - Static variable in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
EmptyParamInitializer - Class in org.deeplearning4j.nn.params
 
EmptyParamInitializer() - Constructor for class org.deeplearning4j.nn.params.EmptyParamInitializer
 
EmrConfig - Class in org.deeplearning4j.aws.emr
 
EmrConfig() - Constructor for class org.deeplearning4j.aws.emr.EmrConfig
 
emrConfigs(List<EmrConfig>) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
A list of configuration parameters to apply to EMR instances.
emrRelease(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
Defines the EMR release version to be used in this cluster uses a release label See https://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-4.2.0/emr-release-differences.html#emr-release-label
emrServiceRole(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
Defines the IAM role to be assumed by the EMR service
EN - Static variable in class org.ansj.domain.TermNature
 
EN - Static variable in class org.ansj.domain.TermNatures
 
EN_BEGIN - Static variable in class org.ansj.app.crf.Config
 
enableHttps(boolean) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
enableRemoteListener() - Method in class org.deeplearning4j.ui.api.UIServer
Enable the remote listener functionality, storing all data in memory, and attaching the instance to the UI.
enableRemoteListener(StatsStorageRouter, boolean) - Method in class org.deeplearning4j.ui.api.UIServer
Enable the remote listener functionality, storing the received results in the specified StatsStorageRouter.
enableRemoteListener() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
enableRemoteListener(StatsStorageRouter, boolean) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
enableScavenger(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
enableScavenger(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method ebables/disables periodical vocab truncation during construction Default value: disabled
enableScavenger - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
enableScavenger(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method ebables/disables periodical vocab truncation during construction Default value: disabled
enableScavenger - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
enableScavenger(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method ebables/disables periodical vocab truncation during construction Default value: disabled
enableScavenger(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
encode() - Method in interface org.deeplearning4j.api.storage.Persistable
 
encode(ByteBuffer) - Method in interface org.deeplearning4j.api.storage.Persistable
Encode this persistable in to a ByteBuffer
encode(OutputStream) - Method in interface org.deeplearning4j.api.storage.Persistable
Encode this persistable in to an output stream
encode(INDArray, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
encode() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
encode() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
encode() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
encode(MutableDirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
encode() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
encode(MutableDirectBuffer) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
encode(MutableDirectBuffer) - Method in interface org.deeplearning4j.ui.storage.AgronaPersistable
 
encode() - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
encode() - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
encode(MutableDirectBuffer) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
encode() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
encode(ByteBuffer) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
encode(OutputStream) - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
encodeB64(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
ENCODED_LENGTH - Static variable in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
EncodedGradientsAccumulator - Class in org.deeplearning4j.optimize.solvers.accumulation
This GradientsAccumulator is suited for CUDA backend.
EncodedGradientsAccumulator(double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
EncodedGradientsAccumulator(int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
EncodedGradientsAccumulator(int, double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
EncodedGradientsAccumulator(int, MessageHandler, long, int, Double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
EncodedGradientsAccumulator.Builder - Class in org.deeplearning4j.optimize.solvers.accumulation
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
encodedLength() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
ENCODER_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
encoderLayerSizes(int...) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Size of the encoder layers, in units.
encoderLayerSizes - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
encodeUpdates(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
EncodingHandler - Class in org.deeplearning4j.optimize.solvers.accumulation
This MessageHandler implementation is suited for debugging mostly, but still can be used in production environment if you really want that.
EncodingHandler() - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method builds new EncodingHandler instance with initial threshold of 1e-3
EncodingHandler(double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method builds new EncodingHandler instance
EncodingHandler(double, Double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method builds new EncodingHandler instance
EncodingHandler(double, double, double, double, int, int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method builds new EncodingHandler instance
EncodingHandler(double, double, double, double, int, int, Double) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method builds new EncodingHandler instance
encodingLengthBytes() - Method in interface org.deeplearning4j.api.storage.Persistable
Length of the encoding, in bytes, when using Persistable.encode() Length may be different using Persistable.encode(OutputStream), due to things like stream headers
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
encodingLengthBytes() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
encodingLengthBytes() - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
encodingLengthBytes() - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
encodingLengthBytes() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
encodingThreshold(double) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method allows to set encoding threshold for this accumulator instance Default value: 1e-3
encryption(String) - Static method in class org.ansj.dic.impl.Jdbc2Stream
 
end() - Static method in class com.atilika.kuromoji.compile.ProgressLog
 
END - Static variable in class org.ansj.app.crf.Config
 
END - Static variable in class org.ansj.domain.AnsjItem
 
end - Variable in class org.ansj.domain.PersonNatureAttr
 
END - Static variable in class org.ansj.domain.TermNature
 
END - Static variable in class org.ansj.domain.TermNatures
 
end - Variable in class org.ansj.splitWord.impl.GetWordsImpl
 
end - Variable in class org.ansj.util.Graph
 
EndingPreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
Gets rid of endings: ed,ing, ly, s, .
EndingPreProcessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EndingPreProcessor
 
endWhenDistributionVariationRateLessThan(double) - Method in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
endWhenDistributionVariationRateLessThan(double) - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
endWhenIterationCountEquals(int) - Method in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
endWhenIterationCountEquals(int) - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
enforceSingleDevice(boolean) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
enforceSingleDevice - Variable in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
enforceTrainingConfig - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
enforceTrainingConfig - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
enforceTrainingConfig(boolean) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
enlarge(double) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
 
enlargeTo(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
enqueueGradient(SharedGradient) - Method in interface org.deeplearning4j.parallelism.trainer.CommunicativeTrainer
 
enqueueGradient(SharedGradient) - Method in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer
Deprecated.
entries - Variable in class com.atilika.kuromoji.trie.PatriciaTrie
Number of entries in the trie
entropy(INDArray) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
This picks uniformaly distributed random points on the unit of a sphere using the method of: An efficient method for generating uniformly distributed points on the surface of an n-dimensional sphere JS Hicks, RF Wheeling - Communications of the ACM, 1959
entropy(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the entropy (information gain, or uncertainty of a random variable).
entrySet() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Returns a copy of the mappings contained in this trie as a Set
ENV - Static variable in class org.ansj.util.MyStaticValue
 
envKey() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envKey(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envKeyCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envKeyCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envKeyHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envKeyHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envKeyId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envKeyId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envKeyLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envKeyMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envKeyMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envValue() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envValue(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envValueCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envValueCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envValueHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envValueHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
envValueLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
envValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
epochCount - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
epochCount - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
epochCount - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
epochCount - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
epochCount - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
epochReset - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
epochs - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
epochs(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets the number of iteration over training corpus during training
epochs(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
epochs(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines number of epochs (iterations over whole training corpus) for training
epochs(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines how much iterations should be done over whole training corpus during modelling
epochs(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines number of epochs (iterations over whole training corpus) for training
epochs(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies number of epochs done over whole corpus PLEASE NOTE: NOT IMPLEMENTED
epochs(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
epochs(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
EpochTerminationCondition - Interface in org.deeplearning4j.earlystopping.termination
Interface for termination conditions to be evaluated once per epoch (i.e., once per pass of the full data set), based on a score and epoch number
epochTerminationConditions(EpochTerminationCondition...) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Termination conditions to be evaluated every N epochs, with N set by evaluateEveryNEpochs option
epochTerminationConditions(List<EpochTerminationCondition>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Termination conditions to be evaluated every N epochs, with N set by evaluateEveryNEpochs option
eps - Variable in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
eps - Variable in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
eps - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
eps(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
Epsilon value for batch normalization; small floating point value added to variance (algorithm 1 in http://arxiv.org/pdf/1502.03167v3.pdf) to reduce/avoid underflow issues.
Default: 1e-5
eps - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
eps - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
eps(double) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
eps - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
epsilon - Variable in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
epsilon - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
EpsTermination - Class in org.deeplearning4j.optimize.terminations
Epsilon termination (absolute change based on tolerance)
EpsTermination(double, double) - Constructor for class org.deeplearning4j.optimize.terminations.EpsTermination
 
EpsTermination() - Constructor for class org.deeplearning4j.optimize.terminations.EpsTermination
 
equals(Object) - Method in class org.ansj.app.keyword.Keyword
 
equals(Object) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
equals(Object) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
equals(Object) - Method in class org.deeplearning4j.clustering.sptree.HeapObject
 
equals(Object) - Method in class org.deeplearning4j.eval.ConfusionMatrix
 
equals(Object) - Method in class org.deeplearning4j.graph.api.Edge
 
equals(Object) - Method in class org.deeplearning4j.graph.api.Vertex
 
equals(Object) - Method in class org.deeplearning4j.graph.graph.Graph
 
equals(Object) - Method in class org.deeplearning4j.models.glove.count.CoOccurrenceWeight
 
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
 
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
 
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
equals(Object) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Equals method override should be properly implemented for any extended class, otherwise it will be based on label equality
equals(Object) - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
equals(Object) - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
equals(Object) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
equals(Object) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
 
equals(Object) - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
 
equals(Object) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
equals(Object) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Indicates whether some other object is "equal to" this one.
equals(Object) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
equals(Object) - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
equals(Object) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
equiv(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
error() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the prediction error for this node
errorFor(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
errorIfGraphIfMLN() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
 
errorSum() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the total prediction error for this tree and its children
escape(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser
Escape input for CSV
esConfig - Variable in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
esConfig - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
EUCLIDEAN - Static variable in class org.deeplearning4j.clustering.vptree.VPTree
 
euclideanDistance(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the distance of two vectors sum(i=1,n) (q_i - p_i)^2
euclideanDistance(float[], float[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the distance of two vectors sum(i=1,n) (q_i - p_i)^2
eval(INDArray, INDArray, List<? extends Serializable>) - Method in class org.deeplearning4j.eval.BaseEvaluation
 
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.BaseEvaluation
 
eval(INDArray, INDArray, ComputationGraph) - Method in class org.deeplearning4j.eval.Evaluation
Evaluate the output using the given true labels, the input to the multi layer network and the multi layer network to use for evaluation
eval(INDArray, INDArray, MultiLayerNetwork) - Method in class org.deeplearning4j.eval.Evaluation
Evaluate the output using the given true labels, the input to the multi layer network and the multi layer network to use for evaluation
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.Evaluation
Collects statistics on the real outcomes vs the guesses.
eval(INDArray, INDArray, List<? extends Serializable>) - Method in class org.deeplearning4j.eval.Evaluation
Evaluate the network, with optional metadata
eval(int, int) - Method in class org.deeplearning4j.eval.Evaluation
Evaluate a single prediction (one prediction at a time)
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationBinary
 
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationBinary
 
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
eval(INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
 
eval(INDArray, INDArray, List<? extends Serializable>) - Method in interface org.deeplearning4j.eval.IEvaluation
 
eval(INDArray, INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
 
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROC
Evaluate (collect statistics for) the given minibatch of data.
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROCBinary
 
eval(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROCBinary
 
eval(INDArray, INDArray) - Method in class org.deeplearning4j.eval.ROCMultiClass
Evaluate (collect statistics for) the given minibatch of data.
evalAtIndex(IEvaluation, INDArray[], INDArray[], int) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
evalTimeSeries(INDArray, INDArray) - Method in class org.deeplearning4j.eval.BaseEvaluation
 
evalTimeSeries(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.BaseEvaluation
 
evalTimeSeries(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.eval.EvaluationBinary
 
evalTimeSeries(INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
 
evalTimeSeries(INDArray, INDArray, INDArray) - Method in interface org.deeplearning4j.eval.IEvaluation
 
evaluate(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (classification performance - single output ComputationGraphs only)
evaluate(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (classification performance - single output ComputationGraphs only)
evaluate(DataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network on the provided data set (single output ComputationGraphs only).
evaluate(MultiDataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network on the provided data set (single output ComputationGraphs only).
evaluate(DataSetIterator, List<String>, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
evaluate(MultiDataSetIterator, List<String>, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
evaluate(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network (classification performance)
evaluate(DataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network on the provided data set.
evaluate(DataSetIterator, List<String>, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network (for classification) on the provided data set, with top N accuracy in addition to standard accuracy.
evaluate(RDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
evaluate(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (classification performance) in a distributed manner on the provided data
evaluate(RDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
evaluate(JavaRDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (classification performance) in a distributed manner, using default batch size and a provided list of labels
evaluate(JavaRDD<DataSet>, List<String>, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (classification performance) in a distributed manner, using specified batch size and a provided list of labels
evaluate(RDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
RDD<DataSet> overload of SparkDl4jMultiLayer.evaluate(JavaRDD)
evaluate(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Evaluate the network (classification performance) in a distributed manner on the provided data
evaluate(RDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
evaluate(JavaRDD<DataSet>, List<String>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Evaluate the network (classification performance) in a distributed manner, using default batch size and a provided list of labels
evaluate(JavaRDD<DataSet>, List<String>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Evaluate the network (classification performance) in a distributed manner, using specified batch size and a provided list of labels
evaluateEveryNEpochs(int) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
How frequently should evaluations be conducted (in terms of epochs)? Defaults to every (1) epochs.
evaluateMDS(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (classification performance) in a distributed manner on the provided data
evaluateMDS(JavaRDD<MultiDataSet>, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (classification performance) in a distributed manner on the provided data
evaluateRegression(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the (single output layer only) network for regression performance
evaluateRegression(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the (single output layer only) network for regression performance
evaluateRegression(DataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the (single output layer only) network for regression performance
evaluateRegression(MultiDataSetIterator, List<String>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the (single output layer only) network for regression performance
evaluateRegression(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network for regression performance
evaluateRegression(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateRegression(JavaRDD<DataSet>, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateRegression(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateRegression(JavaRDD<DataSet>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateRegressionMDS(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateRegressionMDS(JavaRDD<MultiDataSet>, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Evaluate the network (regression performance) in a distributed manner on the provided data
evaluateROC(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (must be a binary classifier) on the specified data, using the ROC class.
evaluateROC(DataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (must be a binary classifier) on the specified data, using the ROC class
evaluateROC(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (must be a binary classifier) on the specified data, using the ROC class.
evaluateROC(MultiDataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network (must be a binary classifier) on the specified data, using the ROC class
evaluateROC(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network (must be a binary classifier) on the specified data, using the ROC class.
evaluateROC(DataSetIterator, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network (must be a binary classifier) on the specified data, using the ROC class
evaluateROC(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform ROC analysis/evaluation on the given DataSet in a distributed manner, using the default number of threshold steps (SparkComputationGraph.DEFAULT_ROC_THRESHOLD_STEPS) and the default minibatch size (SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE)
evaluateROC(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform ROC analysis/evaluation on the given DataSet in a distributed manner
evaluateROC(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform ROC analysis/evaluation on the given DataSet in a distributed manner, using the default number of threshold steps (SparkDl4jMultiLayer.DEFAULT_ROC_THRESHOLD_STEPS) and the default minibatch size (SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE)
evaluateROC(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform ROC analysis/evaluation on the given DataSet in a distributed manner
evaluateROCMDS(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform ROC analysis/evaluation on the given DataSet in a distributed manner, using the default number of threshold steps (SparkComputationGraph.DEFAULT_ROC_THRESHOLD_STEPS) and the default minibatch size (SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE)
evaluateROCMDS(JavaRDD<MultiDataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform ROC analysis/evaluation on the given DataSet in a distributed manner, using the specified number of steps and minibatch size
evaluateROCMultiClass(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network on the specified data, using the ROCMultiClass class.
evaluateROCMultiClass(DataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network on the specified data, using the ROCMultiClass class
evaluateROCMultiClass(MultiDataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Evaluate the network on the specified data, using the ROCMultiClass class
evaluateROCMultiClass(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network on the specified data, using the ROCMultiClass class.
evaluateROCMultiClass(DataSetIterator, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Evaluate the network on the specified data, using the ROCMultiClass class
evaluateROCMultiClass(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform ROC analysis/evaluation (for the multi-class case, using ROCMultiClass on the given DataSet in a distributed manner
evaluateROCMultiClass(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Perform ROC analysis/evaluation (for the multi-class case, using ROCMultiClass on the given DataSet in a distributed manner
evaluateROCMultiClass(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform ROC analysis/evaluation (for the multi-class case, using ROCMultiClass on the given DataSet in a distributed manner
evaluateROCMultiClass(JavaRDD<DataSet>, int, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Perform ROC analysis/evaluation (for the multi-class case, using ROCMultiClass on the given DataSet in a distributed manner
evaluation - Variable in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
evaluation - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
Evaluation - Class in org.deeplearning4j.eval
Evaluation metrics:
- precision, recall, f1, fBeta, accuracy, Matthews correlation coefficient, gMeasure
- Top N accuracy (if using constructor Evaluation.Evaluation(List, int))
- Custom binary evaluation decision threshold (use constructor Evaluation.Evaluation(double) (default if not set is argmax / 0.5)
- Custom cost array, using Evaluation.Evaluation(INDArray) or Evaluation.Evaluation(List, INDArray) for multi-class

Note: Care should be taken when using the Evaluation class for binary classification metrics such as F1, precision, recall, etc.
Evaluation() - Constructor for class org.deeplearning4j.eval.Evaluation
 
Evaluation(int) - Constructor for class org.deeplearning4j.eval.Evaluation
The number of classes to account for in the evaluation
Evaluation(int, Integer) - Constructor for class org.deeplearning4j.eval.Evaluation
Constructor for specifying the number of classes, and optionally the positive class for binary classification.
Evaluation(List<String>) - Constructor for class org.deeplearning4j.eval.Evaluation
The labels to include with the evaluation.
Evaluation(Map<Integer, String>) - Constructor for class org.deeplearning4j.eval.Evaluation
Use a map to generate labels Pass in a label index with the actual label you want to use for output
Evaluation(List<String>, int) - Constructor for class org.deeplearning4j.eval.Evaluation
Constructor to use for top N accuracy
Evaluation(double) - Constructor for class org.deeplearning4j.eval.Evaluation
Create an evaluation instance with a custom binary decision threshold.
Evaluation(double, Integer) - Constructor for class org.deeplearning4j.eval.Evaluation
Create an evaluation instance with a custom binary decision threshold.
Evaluation(INDArray) - Constructor for class org.deeplearning4j.eval.Evaluation
Created evaluation instance with the specified cost array.
Evaluation(List<String>, INDArray) - Constructor for class org.deeplearning4j.eval.Evaluation
Created evaluation instance with the specified cost array.
Evaluation.Metric - Enum in org.deeplearning4j.eval
 
EvaluationAveraging - Enum in org.deeplearning4j.eval
The averaging approach for binary valuation measures when applied to multiclass classification problems.
EvaluationBinary - Class in org.deeplearning4j.eval
EvaluationBinary: used for evaluating networks with binary classification outputs.
EvaluationBinary(INDArray) - Constructor for class org.deeplearning4j.eval.EvaluationBinary
Create an EvaulationBinary instance with an optional decision threshold array.
EvaluationBinary(int, Integer) - Constructor for class org.deeplearning4j.eval.EvaluationBinary
This constructor allows for ROC to be calculated in addition to the standard evaluation metrics, when the rocBinarySteps arg is non-null.
EvaluationCalibration - Class in org.deeplearning4j.eval
EvaluationCalibration is an evaluation class designed to analyze the calibration of a classifier.
It provides a number of tools for this purpose: - Counts of the number of labels and predictions for each class
- Reliability diagram (or reliability curve)
- Residual plot (histogram)
- Histograms of probabilities, including probabilities for each class separately

References:
- Reliability diagram: see for example Niculescu-Mizil and Caruana 2005, Predicting Good Probabilities With Supervised Learning
- Residual plot: see Wallace and Dahabreh 2012, Class Probability Estimates are Unreliable for Imbalanced Data (and How to Fix Them)
EvaluationCalibration() - Constructor for class org.deeplearning4j.eval.EvaluationCalibration
Create an EvaluationCalibration instance with the default number of bins
EvaluationCalibration(int, int) - Constructor for class org.deeplearning4j.eval.EvaluationCalibration
Create an EvaluationCalibration instance with the specified number of bins
EvaluationCalibration(int, int, boolean) - Constructor for class org.deeplearning4j.eval.EvaluationCalibration
Create an EvaluationCalibration instance with the specified number of bins
evaluationCalibrationToHtml(EvaluationCalibration) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
 
EvaluationCallback - Interface in org.deeplearning4j.optimize.listeners.callbacks
This interface describes callback, which can be used with EvaluativeListener, to extend its functionality.
evaluations - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluationTools - Class in org.deeplearning4j.evaluation
Tools for evaluation and rendering ROC and ROCMultiClass results
EvaluationUtils - Class in org.deeplearning4j.eval
Utility methods for performing evaluation
EvaluationUtils() - Constructor for class org.deeplearning4j.eval.EvaluationUtils
 
EvaluativeListener - Class in org.deeplearning4j.optimize.listeners
This TrainingListener implementation provides simple way for model evaluation during training.
EvaluativeListener(DataSetIterator, int) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
Evaluation will be launched after each *frequency* iteration
EvaluativeListener(DataSetIterator, int, InvocationType) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(MultiDataSetIterator, int) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
Evaluation will be launched after each *frequency* iteration
EvaluativeListener(MultiDataSetIterator, int, InvocationType) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(DataSetIterator, int, IEvaluation...) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
Evaluation will be launched after each *frequency* iteration
EvaluativeListener(DataSetIterator, int, InvocationType, IEvaluation...) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(MultiDataSetIterator, int, IEvaluation...) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
Evaluation will be launched after each *frequency* iteration
EvaluativeListener(MultiDataSetIterator, int, InvocationType, IEvaluation...) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(DataSet, int, InvocationType) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(MultiDataSet, int, InvocationType) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(DataSet, int, InvocationType, IEvaluation...) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
EvaluativeListener(MultiDataSet, int, InvocationType, IEvaluation...) - Constructor for class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
eventListeners - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
EventStats - Interface in org.deeplearning4j.spark.stats
Created by Alex on 26/06/2016.
exampleCount - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
exampleCount - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
ExampleCountEventStats - Class in org.deeplearning4j.spark.stats
Event stats implementation with number of examples
ExampleCountEventStats(long, long, int) - Constructor for class org.deeplearning4j.spark.stats.ExampleCountEventStats
 
ExampleCountEventStats(String, String, long, long, long, int) - Constructor for class org.deeplearning4j.spark.stats.ExampleCountEventStats
 
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
exampleNegLogProbability(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
exampleNegLogProbability(INDArray, INDArray) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Calculate the negative log probability for each example individually
examplesPerSecond() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
examplesPerSecond(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
examplesPerSecondId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
examplesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
examplesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
examplesPerSecondMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
examplesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
examplesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
examplesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
examplesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
exception - Variable in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
exec() - Method in class org.deeplearning4j.aws.ec2.provision.ClusterSetup
 
executeTraining(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Train the SparkDl4jMultiLayer with the specified data set
executeTraining(SparkDl4jMultiLayer, JavaPairRDD<String, PortableDataStream>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Deprecated.
Deprecated due to poor performance
executeTraining(SparkComputationGraph, JavaRDD<DataSet>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Train the SparkComputationGraph with the specified data set
executeTraining(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Deprecated.
Deprecated due to poor performance
executeTraining(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTraining(SparkDl4jMultiLayer, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Deprecated.
Due to poor performance
executeTraining(SparkComputationGraph, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTraining(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTraining(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTraining(SparkDl4jMultiLayer, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTraining(SparkComputationGraph, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTraining(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingDirect(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingDirect(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingDirect(SparkDl4jMultiLayer, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingDirect(SparkComputationGraph, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingDirectMDS(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingMDS(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Train the SparkComputationGraph with the specified data set
executeTrainingMDS(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Deprecated.
Deprecated due to poor performance
executeTrainingMDS(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingMDS(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingMDS(SparkComputationGraph, JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingMDS(SparkComputationGraph, JavaPairRDD<String, PortableDataStream>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingPaths(SparkDl4jMultiLayer, JavaRDD<String>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
EXPERIMENTAL method, may be removed in a future release.
Fit the network using a list of paths for serialized DataSet objects.
executeTrainingPaths(SparkComputationGraph, JavaRDD<String>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
EXPERIMENTAL method, may be removed in a future release.
Fit the network using a list of paths for serialized DataSet objects.
executeTrainingPaths(SparkDl4jMultiLayer, JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingPaths(SparkComputationGraph, JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingPaths(SparkDl4jMultiLayer, JavaRDD<String>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingPaths(SparkComputationGraph, JavaRDD<String>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingPathsHelper(SparkDl4jMultiLayer, JavaRDD<String>, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingPathsHelper(SparkDl4jMultiLayer, JavaRDD<String>, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingPathsHelper(SparkComputationGraph, JavaRDD<String>, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingPathsMDS(SparkComputationGraph, JavaRDD<String>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
EXPERIMENTAL method, may be removed in a future release.
Fit the network using a list of paths for serialized MultiDataSet objects.
executeTrainingPathsMDS(SparkComputationGraph, JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingPathsMDS(SparkComputationGraph, JavaRDD<String>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
executeTrainingPathsMDSHelper(SparkComputationGraph, JavaRDD<String>, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
executeTrainingPathsMDSHelper(SparkComputationGraph, JavaRDD<String>, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
ExecuteWorkerFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker
A FlatMapFunction for executing training on DataSets.
ExecuteWorkerFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerFlatMap
 
ExecuteWorkerMultiDataSetFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker
A FlatMapFunction for executing training on MultiDataSets.
ExecuteWorkerMultiDataSetFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerMultiDataSetFlatMap
 
ExecuteWorkerPathFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker
A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS) that is specified as a String Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
ExecuteWorkerPathFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPathFlatMap
 
ExecuteWorkerPathMDSFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker
A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded from a path (local or HDFS) that is specified as a String Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
ExecuteWorkerPathMDSFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPathMDSFlatMap
 
ExecuteWorkerPDSFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker
A FlatMapFunction for executing training on serialized DataSet objects, that can be loaded using a PortableDataStream Used in both SparkDl4jMultiLayer and SparkComputationGraph implementations
ExecuteWorkerPDSFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPDSFlatMap
 
ExecuteWorkerPDSMDSFlatMap<R extends TrainingResult> - Class in org.deeplearning4j.spark.api.worker
A FlatMapFunction for executing training on serialized MultiDataSet objects, that can be loaded using a PortableDataStream Used for SparkComputationGraph implementations only
ExecuteWorkerPDSMDSFlatMap(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.api.worker.ExecuteWorkerPDSMDSFlatMap
 
executorService - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
ExistingDataSetIterator - Class in org.deeplearning4j.datasets.iterator
This wrapper provides DataSetIterator interface to existing java Iterable and Iterator
ExistingDataSetIterator(Iterator<DataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
ExistingDataSetIterator(Iterator<DataSet>, List<String>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
ExistingDataSetIterator(Iterable<DataSet>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
ExistingDataSetIterator(Iterable<DataSet>, List<String>) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
ExistingDataSetIterator(Iterable<DataSet>, int, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
existingModel - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
existingVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
EXISTS - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
expectedChecksum() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
expectedChecksum() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
expectedChecksum(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
explain(LeafReaderContext, int, float, List<Explanation>) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
ExponentialReconstructionDistribution - Class in org.deeplearning4j.nn.conf.layers.variational
Exponential reconstruction distribution.
Supports data in range [0,infinity)
ExponentialReconstructionDistribution() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
ExponentialReconstructionDistribution(String) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
ExponentialReconstructionDistribution(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
ExponentialReconstructionDistribution(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
export(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
export(JavaRDD<ExportContainer<T>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
 
export(JavaRDD<ExportContainer<VocabWord>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
export(JavaRDD<ExportContainer<T>>) - Method in interface org.deeplearning4j.spark.models.sequencevectors.export.SparkModelExporter
This method will be called at final stage of SequenceVectors training, and JavaRDD being passed as argument will
ExportContainer<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.export
 
ExportContainer() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
 
exportDirectory - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
exportDirectory - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
exportDirectory(String) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
When ParameterAveragingTrainingMaster.Builder.rddTrainingApproach(RDDTrainingApproach) is set to RDDTrainingApproach.Export (as it is by default) the data is exported to a temporary directory first.
exportDirectory - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
exportDirectory(String) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
When SharedTrainingMaster.Builder.rddTrainingApproach(RDDTrainingApproach) is set to RDDTrainingApproach.Export (as it is by default) the data is exported to a temporary directory first.
exporter - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
exportevaluationCalibrationToHtmlFile(EvaluationCalibration, File) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
Given a EvaluationCalibration instance, export the charts to a stand-alone HTML file
ExportFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
This function is used to
ExportFunction(Broadcast<VocabCache<ShallowSequenceElement>>, String) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ExportFunction
 
exportIfRequired(JavaSparkContext, JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
exportIfRequiredMDS(JavaSparkContext, JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
exportMDS(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
exportRocChartsToHtmlFile(ROC, File) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
Given a ROC chart, export the ROC chart and precision vs.
exportRocChartsToHtmlFile(ROCMultiClass, File) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
Given a ROCMultiClass chart, export the ROC chart and precision vs.
exportScores(OutputStream) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
Export the scores in tab-delimited (one per line) UTF-8 format.
exportScores(OutputStream, String) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
Export the scores in delimited (one per line) UTF-8 format with the specified delimiter
exportScores(File) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
Export the scores to the specified file in delimited (one per line) UTF-8 format, tab delimited
exportScores(File, String) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
Export the scores to the specified file in delimited (one per line) UTF-8 format, using the specified delimiter
exportStatFiles(String, SparkContext) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
exportStatFiles(String, SparkContext) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Export the stats as a collection of files.
exportStatFiles(String, SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
exportStatFiles(String, SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
exportStats(List<EventStats>, String, String, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
 
exportStats(List<EventStats>, String, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
 
exportStatsAsHtml(SparkTrainingStats, String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
 
exportStatsAsHtml(SparkTrainingStats, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
Generate and export a HTML representation (including charts, etc) of the Spark training statistics
Note: exporting is done via Spark, so the path here can be a local file, HDFS, etc.
exportStatsAsHtml(SparkTrainingStats, long, String, SparkContext) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
Generate and export a HTML representation (including charts, etc) of the Spark training statistics
Note: exporting is done via Spark, so the path here can be a local file, HDFS, etc.
exportStatsAsHTML(SparkTrainingStats, OutputStream) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
Generate and export a HTML representation (including charts, etc) of the Spark training statistics
This overload is for writing to an output stream
exportStatsAsHTML(SparkTrainingStats, long, OutputStream) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
Generate and export a HTML representation (including charts, etc) of the Spark training statistics
This overload is for writing to an output stream
ExportSupport - Class in org.deeplearning4j.spark.impl.paramavg.util
Utility for checking if exporting data sets is supported
ExportSupport() - Constructor for class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport
 
exportSupported(JavaSparkContext) - Static method in class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport
Check if exporting data is supported in the current environment.
exportSupported(String, FileSystem) - Static method in class org.deeplearning4j.spark.impl.paramavg.util.ExportSupport
Check if exporting data is supported in the current environment.
expTable - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
expTable - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
expTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
expTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
expTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
expTable(Broadcast<double[]>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
extCounter - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
externalCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
externalCall() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
externalCall() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
externalCall() - Method in class org.deeplearning4j.spark.iterator.SparkADSI
 
externalCall() - Method in class org.deeplearning4j.spark.iterator.SparkAMDSI
 
externalSource - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
ExtraCounter<E> - Class in org.deeplearning4j.spark.models.sequencevectors.primitives
This class serves as Counter for SparkSequenceVectors vocab creation + for distributed parameters server organization Ip addresses extracted here will be used for ParamServer shards selection, and won't be used for anything else
ExtraCounter() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
 
ExtraCountFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
This accumulator function does count individual elements, using provided Accumulator
ExtraCountFunction(Accumulator<ExtraCounter<Long>>, boolean) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
 
extract(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
extractLabels() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
extractNonMaskedTimeSteps(INDArray, INDArray, INDArray) - Static method in class org.deeplearning4j.eval.EvaluationUtils
 
extractOtherFeatures(DictionaryEntry) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
 
extractPosFeatures(DictionaryEntry) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
 
ExtraElementsFrequenciesAccumulator - Class in org.deeplearning4j.spark.models.sequencevectors.functions
Accumulator for elements count
ExtraElementsFrequenciesAccumulator() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
extraMetaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
extraMetaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
ExtraMetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
extraMetaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
ExtraMetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
extraMetaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 

F

f1(int) - Method in class org.deeplearning4j.eval.Evaluation
Calculate f1 score for a given class
f1() - Method in class org.deeplearning4j.eval.Evaluation
Calculate the F1 score
F1 score is defined as:
TP: true positive
FP: False Positive
FN: False Negative
F1 score: 2 * TP / (2TP + FP + FN)

Note: value returned will differ depending on number of classes and settings.
1.
f1(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average F1 score across all classes, using macro or micro averaging
f1(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the F1 score for the specified output
f1Score(DataSet) - Method in interface org.deeplearning4j.nn.api.Classifier
Sets the input and labels and returns a score for the prediction wrt true labels
f1Score(INDArray, INDArray) - Method in interface org.deeplearning4j.nn.api.Classifier
Returns the f1 score for the given examples.
f1Score(DataSet) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Sets the input and labels and returns a score for the prediction wrt true labels
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Returns the f1 score for the given examples.
f1Score(DataSet) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
Returns the f1 score for the given examples.
f1Score(DataSet) - Method in class org.deeplearning4j.nn.layers.LossLayer
Sets the input and labels and returns a score for the prediction wrt true labels
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
Returns the f1 score for the given examples.
f1Score(DataSet) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
Returns the f1 score for the given examples.
f1Score(DataSet) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
Returns the f1 score for the given examples.
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
Returns the f1 score for the given examples.
f1Score(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Sets the input and labels and returns a score for the prediction wrt true labels
f1Score(INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Sets the input and labels and returns a score for the prediction wrt true labels
fa - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
FaceNetHelper - Class in org.deeplearning4j.zoo.model.helper
Inception is based on GoogleLeNet configuration of convolutional layers for optimization of resources and learning.
FaceNetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
FaceNetNN4Small2 - Class in org.deeplearning4j.zoo.model
A variant of the original FaceNet model that relies on embeddings and triplet loss.
factorial(double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will return the factorial of the given number n.
FALLBACK_LANGUAGE - Static variable in class org.deeplearning4j.ui.i18n.DefaultI18N
 
fallbackToSingleConsumerMode(boolean) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
fallbackToSingleConsumerMode(boolean) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
fallbackToSingleConsumerMode(boolean) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.Registerable
This method enables/disables bypass mode
falseAlarmRate() - Method in class org.deeplearning4j.eval.Evaluation
False Alarm Rate (FAR) reflects rate of misclassified to classified records http://ro.ecu.edu.au/cgi/viewcontent.cgi?article=1058&context=isw
Note: value returned will differ depending on number of classes and settings.
1.
falseNegativeRate(Integer) - Method in class org.deeplearning4j.eval.Evaluation
Returns the false negative rate for a given label
falseNegativeRate(Integer, double) - Method in class org.deeplearning4j.eval.Evaluation
Returns the false negative rate for a given label
falseNegativeRate() - Method in class org.deeplearning4j.eval.Evaluation
False negative rate based on guesses so far Note: value returned will differ depending on number of classes and settings.
1.
falseNegativeRate(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average false negative rate for all classes - can specify whether macro or micro averaging should be used
falseNegativeRate(Integer) - Method in class org.deeplearning4j.eval.EvaluationBinary
Returns the false negative rate for a given label
falseNegativeRate(Integer, double) - Method in class org.deeplearning4j.eval.EvaluationBinary
Returns the false negative rate for a given label
falseNegativeRate(long, long, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the false negative rate from the false negative counts and true positive count
falseNegatives - Variable in class org.deeplearning4j.eval.Evaluation
 
falseNegatives() - Method in class org.deeplearning4j.eval.Evaluation
False negatives: correctly rejected
falseNegatives(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the false negatives count for the specified output
falsePositiveRate(int) - Method in class org.deeplearning4j.eval.Evaluation
Returns the false positive rate for a given label
falsePositiveRate(int, double) - Method in class org.deeplearning4j.eval.Evaluation
Returns the false positive rate for a given label
falsePositiveRate() - Method in class org.deeplearning4j.eval.Evaluation
False positive rate based on guesses so far
Note: value returned will differ depending on number of classes and settings.
1.
falsePositiveRate(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average false positive rate across all classes.
falsePositiveRate(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Returns the false positive rate for a given label
falsePositiveRate(int, double) - Method in class org.deeplearning4j.eval.EvaluationBinary
Returns the false positive rate for a given label
falsePositiveRate(long, long, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the false positive rate from the false positive count and true negative count
falsePositives - Variable in class org.deeplearning4j.eval.Evaluation
 
falsePositives() - Method in class org.deeplearning4j.eval.Evaluation
False positive: wrong guess
falsePositives(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the false positives count for the specified output
FancyBlockingQueue<E> - Class in org.deeplearning4j.optimize.solvers.accumulation
This BlockingQueue implementation is suited only for symmetric gradients updates, and should NOT be used anywhere else.
FancyBlockingQueue(BlockingQueue<E>) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
FancyBlockingQueue(BlockingQueue<E>, int) - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
fBeta(double, int) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the f_beta for a given class, where f_beta is defined as:
(1+beta^2) * (precision * recall) / (beta^2 * precision + recall).
F1 is a special case of f_beta, with beta=1.0
fBeta(double, int, double) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the f_beta for a given class, where f_beta is defined as:
(1+beta^2) * (precision * recall) / (beta^2 * precision + recall).
F1 is a special case of f_beta, with beta=1.0
fBeta(double, EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average F_beta score across all classes, using macro or micro averaging
fBeta(double, int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Calculate the F-beta value for the given output
fBeta(double, long, long, long) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the F beta value from counts
fBeta(double, double, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the F-beta value from precision and recall
FEATURE_BEGIN - Static variable in class org.ansj.app.crf.Config
 
FEATURE_MAP_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
FeatureInfoMap - Class in com.atilika.kuromoji.buffer
 
FeatureInfoMap() - Constructor for class com.atilika.kuromoji.buffer.FeatureInfoMap
 
featureInfos - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
features - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
features(List<String>) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
featureTree - Variable in class org.ansj.app.crf.Model
 
featurize(MultiDataSet) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
During training frozen vertices/layers can be treated as "featurizing" the input The forward pass through these frozen layer/vertices can be done in advance and the dataset saved to disk to iterate quickly on the smaller unfrozen part of the model Currently does not support datasets with feature masks
featurize(DataSet) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
During training frozen vertices/layers can be treated as "featurizing" the input The forward pass through these frozen layer/vertices can be done in advance and the dataset saved to disk to iterate quickly on the smaller unfrozen part of the model Currently does not support datasets with feature masks
feedDataSet(DataSet, long) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
 
feedDataSet(DataSet, long) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
feedDataSet(DataSet, long) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Train on a DataSet
feedForward(int) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
InputType for feed forward network data
feedForward(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
feedForward(INDArray, int, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using a single input array.
feedForward(INDArray[], int, boolean, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using an array of inputs.
feedForward(INDArray[], int, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using an array of inputs
feedForward(boolean, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using the stored inputs
feedForward(INDArray, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using a single input array.
feedForward(INDArray[], boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using an array of inputs
feedForward(INDArray[], boolean, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using an array of inputs.
feedForward() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using the stored inputs, at test time
feedForward(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Conduct forward pass using the stored inputs
feedForward(boolean, boolean, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
feedForward(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute activations from input to output of the output layer
feedForward(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute activations from input to output of the output layer
feedForward(boolean, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform feed-forward, optionally (not) clearing the layer input arrays.
Note: this method should NOT be used with clearInputs = true, unless you know what you are doing.
feedForward() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute activations from input to output of the output layer
feedForward(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute activations from input to output of the output layer
feedForward(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute the activations from the input to the output layer, given mask arrays (that may be null) The masking arrays are used in situations such an one-to-many and many-to-one rucerrent neural network (RNN) designs, as well as for supporting time series of varying lengths within the same minibatch for RNNs.
FeedForwardLayer - Class in org.deeplearning4j.nn.conf.layers
Created by jeffreytang on 7/21/15.
FeedForwardLayer(FeedForwardLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
FeedForwardLayer.Builder<T extends FeedForwardLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in interface org.deeplearning4j.nn.api.Layer
Feed forward the input mask array, setting in in the layer as appropriate.
feedForwardMaskArray(INDArray, MaskState, int) - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.BaseInputPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
feedForwardMaskArray(INDArray, MaskState, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
feedForwardMaskArrays(INDArray[], MaskState, int) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
FeedForwardToCnn3DPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow 3D CNN and standard feed-forward network layers to be used together.
For example, DenseLayer -> Convolution3D
This does two things:
(a) Reshapes activations out of FeedFoward layer (which is 2D with shape [numExamples, inputDepth*inputHeight*inputWidth*numChannels]) into 5d activations (with shape [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) suitable to feed into CNN layers.
(b) Reshapes 5d epsilons from 3D CNN layer, with shape [numExamples, numChannels, inputDepth, inputHeight, inputWidth]) into 2d epsilons (with shape [numExamples, inputDepth*inputHeight*inputWidth*numChannels]) for use in feed forward layer
FeedForwardToCnn3DPreProcessor(int, int, int, int, boolean) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
FeedForwardToCnn3DPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
FeedForwardToCnnPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow CNN and standard feed-forward network layers to be used together.
For example, DenseLayer -> CNN
This does two things:
(a) Reshapes activations out of FeedFoward layer (which is 2D or 3D with shape [numExamples, inputHeight*inputWidth*numChannels]) into 4d activations (with shape [numExamples, numChannels, inputHeight, inputWidth]) suitable to feed into CNN layers.
(b) Reshapes 4d epsilons (weights*deltas) from CNN layer, with shape [numExamples, numChannels, inputHeight, inputWidth]) into 2d epsilons (with shape [numExamples, inputHeight*inputWidth*numChannels]) for use in feed forward layer Note: numChannels is equivalent to channels or featureMaps referenced in different literature
FeedForwardToCnnPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
Reshape to a channels x rows x columns tensor
FeedForwardToCnnPreProcessor(int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
feedForwardToLayer(int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute the activations from the input to the specified layer.
To compute activations for all layers, use feedForward(...) methods
Note: output list includes the original input.
feedForwardToLayer(int, INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute the activations from the input to the specified layer.
To compute activations for all layers, use feedForward(...) methods
Note: output list includes the original input.
feedForwardToLayer(int, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Compute the activations from the input to the specified layer, using the currently set input for the network.
To compute activations for all layers, use feedForward(...) methods
Note: output list includes the original input.
FeedForwardToRnnPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow RNN and feed-forward network layers to be used together.
For example, DenseLayer -> GravesLSTM
This does two things:
(a) Reshapes activations out of FeedFoward layer (which is 2D with shape [miniBatchSize*timeSeriesLength,layerSize]) into 3d activations (with shape [miniBatchSize,layerSize,timeSeriesLength]) suitable to feed into RNN layers.
(b) Reshapes 3d epsilons (weights*deltas from RNN layer, with shape [miniBatchSize,layerSize,timeSeriesLength]) into 2d epsilons (with shape [miniBatchSize*timeSeriesLength,layerSize]) for use in feed forward layer
FeedForwardToRnnPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
feedForwardWithKey(JavaPairRDD<K, INDArray[]>, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Feed-forward the specified data, with the given keys.
feedForwardWithKey(JavaPairRDD<K, INDArray>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Feed-forward the specified data, with the given keys.
FeedForwardWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to feed-forward examples, and get the network output (for example, class probabilities).
FeedForwardWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.FeedForwardWithKeyFunction
 
feedForwardWithKeySingle(JavaPairRDD<K, INDArray>, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Feed-forward the specified data, with the given keys.
feedForwardWithMaskAndKey(JavaPairRDD<K, Tuple2<INDArray, INDArray>>, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Feed-forward the specified data (and optionally mask array), with the given keys.
feedMultiDataSet(MultiDataSet, long) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
 
feedMultiDataSet(MultiDataSet, long) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
feedMultiDataSet(MultiDataSet, long) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Train on a MultiDataSet
fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
 
fetch(int) - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
fetch(int) - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Fetches the next dataset.
fetch(int) - Method in class org.deeplearning4j.datasets.iterator.impl.MovingWindowDataSetFetcher
Fetches the next dataset.
fetch(int) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
fetcher - Variable in class org.deeplearning4j.datasets.fetchers.EmnistDataFetcher
 
fetcher - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
fetchFutures() - Method in class org.deeplearning4j.clustering.vptree.VPTree.Node
 
fetchLabels(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Sets, if labels should be fetched, during vocab building
fetchLabels - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
fetchLabels - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraCountFunction
 
ffToLayerActivationsDetached(boolean, FwdPassType, boolean, int, int[], INDArray[], INDArray[], INDArray[], boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Feed-forward through the network - returning all array activations detached from any workspace.
ffToLayerActivationsDetached(boolean, FwdPassType, boolean, int, INDArray, INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Feed-forward through the network - returning all array activations in a list, detached from any workspace.
ffToLayerActivationsInWS(boolean, int, int[], FwdPassType, boolean, INDArray[], INDArray[], INDArray[], boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Feed-forward through the network - if workspaces are used, all returned activations will be present in workspace WS_ALL_LAYERS_ACT.
Note: if using workspaces for training, requires that WS_ALL_LAYERS_ACT is open externally.
ffToLayerActivationsInWs(int, FwdPassType, boolean, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Feed-forward through the network at training time - returning a list of all activations in a workspace (WS_ALL_LAYERS_ACT) if workspaces are enabled for training; or detached if no workspaces are used.
Note: if using workspaces for training, this method requires that WS_ALL_LAYERS_ACT is open externally.
If using NO workspaces, requires that no external workspace is open
Note that this method does NOT clear the inputs to each layer - instead, they are in the WS_ALL_LAYERS_ACT workspace for use in later backprop.
fieldsPresent() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
fieldsPresent() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
fieldsPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
fieldsPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
fieldsPresentId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
fieldsPresentId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
fieldsPresentMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
fieldsPresentMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
file - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
file(File) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
File2Stream - Class in org.ansj.dic.impl
将文件转换为流 file://c:/dic.txt
File2Stream() - Constructor for class org.ansj.dic.impl.File2Stream
 
FILE_DIR - Variable in class org.deeplearning4j.base.MnistFetcher
 
FileCallback - Interface in org.deeplearning4j.datasets.iterator.callbacks
 
FileDataSetIterator - Class in org.deeplearning4j.datasets.iterator.file
Iterate over a directory (and optionally subdirectories) containing a number of DataSet objects that have previously been saved to files with DataSet.save(File).
This iterator supports the following (optional) features, depending on the constructor used:
- Recursive listing of all files (i.e., include files in subdirectories)
- Filtering based on a set of file extensions (if null, no filtering - assume all files are saved DataSet objects)
- Randomization of iteration order (default enabled, if a Random instance is provided
- Combining and splitting of DataSets (disabled by default, or if batchSize == -1.
FileDataSetIterator(File) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- Batch size: default (as in the stored DataSets - no splitting/combining)
- File extensions: no filtering - all files in directory are assumed to be a DataSet
FileDataSetIterator(File...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- Batch size: default (as in the stored DataSets - no splitting/combining)
- File extensions: no filtering - all files in directory are assumed to be a DataSet
FileDataSetIterator(File, int) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with the specified batch size, and the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- File extensions: no filtering - all files in directory are assumed to be a DataSet
FileDataSetIterator(File, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with filtering based on file extensions, and the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- Batch size: default (as in the stored DataSets - no splitting/combining)
FileDataSetIterator(File, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with the specified batch size, filtering based on file extensions, and the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
FileDataSetIterator(File, boolean, Random, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with all settings specified
FileDataSetIterator(File[], boolean, Random, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
Create a FileDataSetIterator with all settings specified
FileDocumentIterator - Class in org.deeplearning4j.text.documentiterator
Iterate over files
FileDocumentIterator(String) - Constructor for class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
FileDocumentIterator(File) - Constructor for class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
fileIterator - Variable in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
FileLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
This is simple filesystem-based LabelAware iterator.
FileLabelAwareIterator() - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
FileLabelAwareIterator(List<File>, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
FileLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
 
FileLabeledSentenceProvider - Class in org.deeplearning4j.iterator.provider
Iterate over a set of sentences/documents, where the sentences are to be loaded (as required) from the provided files.
FileLabeledSentenceProvider(Map<String, List<File>>) - Constructor for class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
FileLabeledSentenceProvider(Map<String, List<File>>, Random) - Constructor for class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
FileMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator.file
Iterate over a directory (and optionally subdirectories) containing a number of MultiDataSet objects that have previously been saved to files with MultiDataSet.save(File).
This iterator supports the following (optional) features, depending on the constructor used:
- Recursive listing of all files (i.e., include files in subdirectories)
- Filtering based on a set of file extensions (if null, no filtering - assume all files are saved MultiDataSet objects)
- Randomization of iteration order (default enabled, if a Random instance is provided
- Combining and splitting of MultiDataSets (disabled by default, or if batchSize == -1.
FileMultiDataSetIterator(File) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- Batch size: default (as in the stored DataSets - no splitting/combining)
- File extensions: no filtering - all files in directory are assumed to be a DataSet
FileMultiDataSetIterator(File...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- Batch size: default (as in the stored DataSets - no splitting/combining)
- File extensions: no filtering - all files in directory are assumed to be a DataSet
FileMultiDataSetIterator(File, int) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with the specified batch size, and the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- File extensions: no filtering - all files in directory are assumed to be a DataSet
FileMultiDataSetIterator(File, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with filtering based on file extensions, and the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
- Batch size: default (as in the stored DataSets - no splitting/combining)
FileMultiDataSetIterator(File, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with the specified batch size, filtering based on file extensions, and the following default settings:
- Recursive: files in subdirectories are included
- Randomization: order of examples is randomized with a random RNG seed
FileMultiDataSetIterator(File, boolean, Random, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with all settings specified
FileMultiDataSetIterator(File[], boolean, Random, int, String...) - Constructor for class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
Create a FileMultiDataSetIterator with all settings specified
FILENAME_AGGREGATE_TIME - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_BROADCAST_CREATE - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_BROADCAST_GET_STATS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
FILENAME_COUNT_RDD_SIZE - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_DATASET_GET_TIME_STATS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
FILENAME_EXPORT_RDD_TIME - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_FIT_STATS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
FILENAME_FIT_TIME - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_GET_INITIAL_MODEL_STATS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
FILENAME_INIT_STATS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
FILENAME_MAP_PARTITIONS_TIME - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_PROCESS_MINIBATCH_TIME_STATS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
FILENAME_PROCESS_PARAMS_TIME - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_REPARTITION_STATS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_SPLIT_TIME - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
FILENAME_TOTAL_TIME_STATS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
FilenamesLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
This LabelAwareIterator scans folder for files, and returns them as LabelledDocuments.
FilenamesLabelAwareIterator() - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
FilenamesLabelAwareIterator(List<File>, LabelsSource) - Constructor for class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
FilenamesLabelAwareIterator.Builder - Class in org.deeplearning4j.text.documentiterator
 
FileResourceResolver - Class in com.atilika.kuromoji.util
 
FileResourceResolver() - Constructor for class com.atilika.kuromoji.util.FileResourceResolver
 
files - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
files - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
FileSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
 
FileSentenceIterator(SentencePreProcessor, File) - Constructor for class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
Takes a single file or directory
FileSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
FileSplitDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Simple iterator working with list of files.
FileSplitDataSetIterator(List<File>, FileCallback) - Constructor for class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
FileSplitParallelDataSetIterator - Class in org.deeplearning4j.datasets.iterator.parallel
 
FileSplitParallelDataSetIterator(File, String, FileCallback) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
FileSplitParallelDataSetIterator(File, String, FileCallback, int) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
FileSplitParallelDataSetIterator(File, String, FileCallback, int, InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
FileSplitParallelDataSetIterator(File, String, FileCallback, int, int, InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
FileStatsStorage - Class in org.deeplearning4j.ui.storage
A StatsStorage implementation that stores UI data in a file for persistence.
Can be used for multiple instances, and across multiple independent runs.
FileStatsStorage(File) - Constructor for class org.deeplearning4j.ui.storage.FileStatsStorage
 
fillQueue() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
filter(Term) - Method in class org.ansj.recognition.impl.StopRecognition
判断一个词语是否停用..
FilteredSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
This implementation of SequenceIterator passes each sequence through specified vocabulary, filtering out SequenceElements that are not available in Vocabulary.
FilteredSequenceIterator(SequenceIterator<T>, VocabCache<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
Creates Filtered SequenceIterator on top of another SequenceIterator and appropriate VocabCache instance
filterMinWordAddVocab(Counter<String>) - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
filterVocab(AbstractCache<T>, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
 
finalize() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
finalize() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
finalizeRound(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
 
finalizeRound(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext
 
finalizeRound(Model, Model...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext
This method is called at averagingFrequency
finalizeRound(Model, Model...) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
 
finalizeTraining(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
 
finalizeTraining(Model, Model...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext
 
finalizeTraining(Model, Model...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext
This method is called
finalizeTraining(Model, Model...) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
 
finalizeTraining() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
finalMomentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
finalMomentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
finalMomentum - Variable in class org.deeplearning4j.plot.Tsne
 
finalProcessor - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
finalScore(double, int, int) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
finalScore(U) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
finalScore(double, int, int) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
finalScore(Evaluation) - Method in class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
finalScore(double, int, int) - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
finalScore(RegressionEvaluation) - Method in class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
finalScore(IEvaluation) - Method in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
finalScore(double, int, int) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
finalScore(double, int, int) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
findCreds() - Method in class org.deeplearning4j.aws.s3.BaseS3
 
findHead(Tree) - Method in class org.deeplearning4j.text.corpora.treeparser.HeadWordFinder
Finds the bottom most head
findHead2(Tree) - Method in class org.deeplearning4j.text.corpora.treeparser.HeadWordFinder
 
findIndex(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Returns the cell of this element
findUserDictionaryMatches(String) - Method in class com.atilika.kuromoji.dict.UserDictionary
Lookup words in text
finetune() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Run SGD based on the given labels
FineTuneConfiguration - Class in org.deeplearning4j.nn.transferlearning
Configuration for fine tuning.
FineTuneConfiguration() - Constructor for class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
fineTuneConfiguration(FineTuneConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Fine tune configurations specified will overwrite the existing configuration if any Usage example: specify a learning rate will set specified learning rate on all layers Refer to the fineTuneConfiguration class for more details
fineTuneConfiguration(FineTuneConfiguration) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Set parameters to selectively override existing learning parameters Usage eg.
FineTuneConfiguration.Builder - Class in org.deeplearning4j.nn.transferlearning
 
finish() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
 
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
finish() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
finish() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
finish() - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
 
finish() - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
 
finish() - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
finish() - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
 
finish() - Method in interface org.deeplearning4j.models.glove.count.CoOccurenceReader
 
finish() - Method in interface org.deeplearning4j.models.glove.count.CoOccurrenceWriter
Implementations of this method should close everything they use, before eradication
finish() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
finish() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
finish() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Finishes saving data
finish() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
finish() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
Allows for any finishing (closing of input streams or the like)
finish() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
finish() - Method in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
finishTraining(long, long) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
This method is used on Master only, applies buffered updates to params
firstChild() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
FirstIterationFunction - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
FirstIterationFunction(Broadcast<Map<String, Object>>, Broadcast<double[]>, Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunction
 
FirstIterationFunctionAdapter - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
FirstIterationFunctionAdapter(Broadcast<Map<String, Object>>, Broadcast<double[]>, Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
 
firstOne - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
firstTrain - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
firstTrain - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
fit() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
fit() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Train the model
fit(INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPForest
Build the trees from the given dataset
fit(DataSet) - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
fit(MultiDataSet) - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
fit() - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
fit(DataSet) - Method in class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer
 
fit(MultiDataSet) - Method in class org.deeplearning4j.earlystopping.trainer.EarlyStoppingGraphTrainer
 
fit(DataSet) - Method in class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
 
fit(MultiDataSet) - Method in class org.deeplearning4j.earlystopping.trainer.EarlyStoppingTrainer
 
fit() - Method in interface org.deeplearning4j.earlystopping.trainer.IEarlyStoppingTrainer
Conduct early stopping training
fit(IGraph<V, E>, int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Fit the model, in parallel.
fit(GraphWalkIteratorProvider<V>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Fit the model, in parallel, using a given GraphWalkIteratorProvider.
This object is used to generate multiple GraphWalkIterators, which can then be distributed to each thread to do in parallel
Note that DeepWalk.fit(IGraph, int) will be more convenient in many cases
Note that DeepWalk.initialize(IGraph) or DeepWalk.initialize(int[]) must be called first.
fit(GraphWalkIterator<V>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Fit the DeepWalk model using a single thread using a given GraphWalkIterator.
fit() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
fit() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
fit() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
Starts training over
fit(DataSetIterator) - Method in interface org.deeplearning4j.nn.api.Classifier
Train the model based on the datasetiterator
fit(INDArray, INDArray) - Method in interface org.deeplearning4j.nn.api.Classifier
Fit the model
fit(DataSet) - Method in interface org.deeplearning4j.nn.api.Classifier
Fit the model
fit(INDArray, int[]) - Method in interface org.deeplearning4j.nn.api.Classifier
Fit the model
fit() - Method in interface org.deeplearning4j.nn.api.Model
Deprecated.
fit(INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Model
Fit the model to the given data
fit(DataSet) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method fits model with a given DataSet
fit(MultiDataSet) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method fits model with a given MultiDataSet
fit(DataSetIterator) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method fits model with a given DataSetIterator
fit(MultiDataSetIterator) - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method fits model with a given MultiDataSetIterator
fit(DataSet) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the ComputationGraph using a DataSet.
fit(DataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Perform minibatch training on all minibatches in the DataSetIterator, for the specified number of epochs.
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the ComputationGraph using a DataSetIterator.
Note that this method can only be used with ComputationGraphs with 1 input and 1 output
Method doesn't do layerwise pretraining.
For pretraining use method pretrain..
fit(MultiDataSet) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the ComputationGraph using a MultiDataSet
fit(MultiDataSetIterator, int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Perform minibatch training on all minibatches in the MultiDataSetIterator, for the specified number of epochs.
fit(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the ComputationGraph using a MultiDataSetIterator Method doesn't do layerwise pretraining.
For pretraining use method pretrain..
fit(INDArray[], INDArray[]) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the ComputationGraph given arrays of inputs and labels.
fit(INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Fit the ComputationGraph using the specified inputs and labels (and mask arrays)
fit() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
fit(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Fit the model
fit(DataSet) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Fit the model
fit(INDArray, int[]) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Fit the model
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Fit the model to the given data
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
fit(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
fit(DataSet) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
fit(INDArray, int[]) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
fit() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
fit(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
Fit the model
fit(DataSet) - Method in class org.deeplearning4j.nn.layers.LossLayer
Fit the model
fit(INDArray, int[]) - Method in class org.deeplearning4j.nn.layers.LossLayer
Fit the model
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
fit(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
fit(DataSet) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
fit(INDArray, int[]) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
fit() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
fit(INDArray, INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
fit(DataSet) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
fit(INDArray, int[]) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
fit() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
fit() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
fit(DataSetIterator, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform minibatch training on all minibatches in the DataSetIterator, for the specified number of epochs.
fit(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform minibatch training on all minibatches in the DataSetIterator.
Note that this method does not do layerwise pretraining.
For pretraining use method pretrain..
fit(INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Fit the model
fit(INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Fit the model
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
fit(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Fit the model
fit(INDArray, int[]) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Fit the model
fit() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
fit(MultiDataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
fit(MultiDataSetIterator, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform minibatch training on all minibatches in the MultiDataSetIterator, for the specified number of epochs.
fit(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform minibatch training on all minibatches in the MultiDataSetIterator.
Note: The MultiDataSets in the MultiDataSetIterator must have exactly 1 input and output array (as MultiLayerNetwork only supports 1 input and 1 output)
fit() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
fit(MultiDataSetIterator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
 
fit(DataSetIterator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
This method takes DataSetIterator, and starts training over it by scheduling DataSets to different executors
fit(DataSet) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
fit(MultiDataSet) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
fit() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
fit(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
fit(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
fit(INDArray, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne
fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
fit() - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
fit(RDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the ComputationGraph with the given data set
fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the ComputationGraph with the given data set
fit(String) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the SparkComputationGraph network using a directory of serialized DataSet objects The assumption here is that the directory contains a number of DataSet objects, each serialized using DataSet.save(OutputStream)
fit(String, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
fit(RDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Fit the DataSet RDD.
fit(JavaRDD<DataSet>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Fit the DataSet RDD
fit(String) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Fit the SparkDl4jMultiLayer network using a directory of serialized DataSet objects The assumption here is that the directory contains a number of DataSet objects, each serialized using DataSet.save(OutputStream)
fit(String, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
fit() - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
Deprecated.
fit() - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec
Deprecated.
fitContinuousLabeledPoint(JavaRDD<LabeledPoint>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Fits a MultiLayerNetwork using Spark MLLib LabeledPoint instances This will convert labeled points that have continuous labels used for regression to the internal DL4J data format and train the model on that
fitFeaturized(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Fit from a featurized dataset.
fitFeaturized(MultiDataSet) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
 
fitFeaturized(DataSet) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
 
fitFeaturized(DataSetIterator) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
 
fitLabeledPoint(JavaRDD<LabeledPoint>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Fit a MultiLayerNetwork using Spark MLLib LabeledPoint instances.
fitLabelledDocuments(JavaRDD<LabelledDocument>) - Method in class org.deeplearning4j.spark.models.paragraphvectors.SparkParagraphVectors
This method builds ParagraphVectors model, expecting JavaRDD.
fitLists(JavaRDD<List<T>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
Utility method.
fitMulti(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
fitMulti(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
fitMulti(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
fitMultiDataSet(RDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the ComputationGraph with the given data set
fitMultiDataSet(JavaRDD<MultiDataSet>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the ComputationGraph with the given data set
fitMultiDataSet(String) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the SparkComputationGraph network using a directory of serialized MultiDataSet objects The assumption here is that the directory contains a number of serialized MultiDataSet objects
fitMultiDataSet(String, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
fitMultipleFiles(JavaPairRDD<String, String>) - Method in class org.deeplearning4j.spark.models.paragraphvectors.SparkParagraphVectors
This method builds ParagraphVectors model, expecting JavaPairRDD with key as label, and value as document-in-a-string.
fitPaths(JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the network using a list of paths for serialized DataSet objects.
fitPaths(JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Fit the network using a list of paths for serialized DataSet objects.
fitPathsMultiDataSet(JavaRDD<String>) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Fit the network using a list of paths for serialized MultiDataSet objects.
fitSentences(JavaRDD<String>) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec
 
fitSequences(JavaRDD<Sequence<T>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
Base training entry point
FixedClusterCountStrategy - Class in org.deeplearning4j.clustering.strategy
 
FixedClusterCountStrategy(Integer, String, boolean, boolean) - Constructor for class org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy
 
FixedIterationCountCondition - Class in org.deeplearning4j.clustering.condition
 
FixedIterationCountCondition(int) - Constructor for class org.deeplearning4j.clustering.condition.FixedIterationCountCondition
 
flag - Variable in class org.ansj.domain.NumNatureAttr
 
flag - Variable in class org.ansj.domain.PersonNatureAttr
 
FlatModelUtils<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.reader.impl
This model reader is suited for model tests, and for cases where flat scan against elements is required.
FlatModelUtils() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
 
flattenedGradients - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
flattenedGradients - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
flattenedParams - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
flattenedParams - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
flatteningOrderForVariable(String) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
flatteningOrderForVariable(String) - Method in interface org.deeplearning4j.nn.gradient.Gradient
Return the gradient flattening order for the specified variable, or null if it is not explicitly set
FloatsDataSetIterator - Class in org.deeplearning4j.datasets.iterator
float[] wrapper for DataSetIterator impementation.
FloatsDataSetIterator(Iterable<Pair<float[], float[]>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.FloatsDataSetIterator
 
floatValue(StyleDiv.FloatValue) - Method in class org.deeplearning4j.ui.components.component.style.StyleDiv.Builder
CSS float styling option
FoldBetweenPartitionFunction - Class in org.deeplearning4j.spark.text.functions
 
FoldBetweenPartitionFunction(Broadcast<Counter<Integer>>) - Constructor for class org.deeplearning4j.spark.text.functions.FoldBetweenPartitionFunction
 
foldersToScan - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator.Builder
 
foldersToScan - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
FoldWithinPartitionFunction - Class in org.deeplearning4j.spark.text.functions
 
FoldWithinPartitionFunction(Accumulator<Counter<Integer>>) - Constructor for class org.deeplearning4j.spark.text.functions.FoldWithinPartitionFunction
 
font(String) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
Specify the font to be used for the text
fontSize(double) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
Size of the font (pt)
fOrder - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
forEachRemaining(Consumer<? super MultiDataSet>) - Method in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
forEachRemaining(Consumer<? super DataSet>) - Method in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
forEachRemaining(Consumer<? super E>) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
ForeignPersonRecognition - Class in org.ansj.recognition.arrimpl
外国人名识别
ForeignPersonRecognition() - Constructor for class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
forests - Variable in class org.ansj.splitWord.Analysis
 
forgetGateBiasInit - Variable in class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
 
forgetGateBiasInit(double) - Method in class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
Set forget gate bias initalizations.
forgetGateBiasInit - Variable in class org.deeplearning4j.nn.conf.layers.AbstractLSTM
 
forgetGateBiasInit(double) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
Set forget gate bias initalizations.
format(PatriciaTrie<V>) - Method in class com.atilika.kuromoji.trie.PatriciaTrieFormatter
Format trie
format(PatriciaTrie<V>, boolean) - Method in class com.atilika.kuromoji.trie.PatriciaTrieFormatter
Format trie
format(PatriciaTrie<V>, File) - Method in class com.atilika.kuromoji.trie.PatriciaTrieFormatter
Format trie and write to file
format(PatriciaTrie<V>, File, boolean) - Method in class com.atilika.kuromoji.trie.PatriciaTrieFormatter
Format trie and write to file
format(ViterbiLattice) - Method in class com.atilika.kuromoji.viterbi.ViterbiFormatter
 
format(ViterbiLattice, List<ViterbiNode>) - Method in class com.atilika.kuromoji.viterbi.ViterbiFormatter
 
format(double, int) - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
FORWARD_PREFIX - Static variable in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
frame - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
 
frame - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
frameId - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
frameSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
 
frameSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
frameSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDBOW
 
frameSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDM
 
frameSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in interface org.deeplearning4j.spark.models.sequencevectors.learning.SparkElementsLearningAlgorithm
 
frequency - Variable in class org.ansj.domain.TermNature
 
frequency - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
from - Variable in class org.ansj.app.crf.pojo.Element
 
from() - Method in class org.ansj.domain.Term
 
from - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
from - Variable in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
fromBinary(JavaPairRDD<String, PortableDataStream>, RecordReader) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert a traditional sc.binaryFiles in to something usable for machine learning
fromBinary(JavaRDD<Tuple2<String, PortableDataStream>>, RecordReader) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert a traditional sc.binaryFiles in to something usable for machine learning
fromBytesSerializable(byte[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
fromContinuousLabeledPoint(JavaSparkContext, JavaRDD<LabeledPoint>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
fromContinuousLabeledPoint(JavaRDD<LabeledPoint>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Converts a continuous JavaRDD LabeledPoint to a JavaRDD DataSet.
fromContinuousLabeledPoint(JavaRDD<LabeledPoint>, boolean) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Converts a continuous JavaRDD LabeledPoint to a JavaRDD DataSet.
fromDataSet(DataSet) - Static method in class org.deeplearning4j.nearestneighbor.model.BatchRecord
Return a batch record based on a dataset
fromDataSet(JavaSparkContext, JavaRDD<DataSet>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
fromDataSet(JavaRDD<DataSet>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an rdd of data set in to labeled point.
fromDataSet(JavaRDD<DataSet>, boolean) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an rdd of data set in to labeled point.
fromFileString(String) - Static method in class org.deeplearning4j.optimize.listeners.checkpoint.Checkpoint
 
fromIActivation(IActivation) - Static method in class org.deeplearning4j.nn.conf.layers.samediff.SameDiffLayerUtils
 
fromJson(String, Class<T>) - Static method in class org.deeplearning4j.eval.BaseEvaluation
 
fromJson(String, Class<T>) - Static method in class org.deeplearning4j.eval.curves.BaseCurve
 
fromJson(String, Class<T>) - Static method in class org.deeplearning4j.eval.curves.BaseHistogram
 
fromJson(String) - Static method in class org.deeplearning4j.eval.curves.Histogram
 
fromJson(String) - Static method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
fromJson(String) - Static method in class org.deeplearning4j.eval.curves.RocCurve
 
fromJson(String) - Static method in class org.deeplearning4j.eval.Evaluation
 
fromJson(String) - Static method in class org.deeplearning4j.eval.EvaluationBinary
 
fromJson(String) - Static method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
 
fromJson(String) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
fromJson(String) - Static method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Create a computation graph configuration from json
fromJson(String) - Static method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
fromJson(String) - Static method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
Create a neural net configuration from json
fromJson(String) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Create a neural net configuration from json
fromJson(String) - Static method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
fromJson(String) - Static method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Create a ParameterAveragingTrainingMaster instance by deserializing a JSON string that has been serialized with ParameterAveragingTrainingMaster.toJson()
fromJson(String) - Static method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
Create a SharedTrainingMaster instance by deserializing a JSON string that has been serialized with SharedTrainingMaster.toJson()
fromLabeledPoint(JavaRDD<LabeledPoint>, int, int) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an rdd of labeled point based on the specified batch size in to data set
fromLabeledPoint(JavaSparkContext, JavaRDD<LabeledPoint>, int) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
fromLabeledPoint(JavaRDD<LabeledPoint>, int) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Converts JavaRDD labeled points to JavaRDD datasets.
fromLabeledPoint(JavaRDD<LabeledPoint>, int, boolean) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Converts JavaRDD labeled points to JavaRDD DataSets.
fromPair(Pair<InMemoryLookupTable, VocabCache>) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Load word vectors from the given pair
fromRow(DataSet) - Static method in class org.deeplearning4j.nearestneighbor.model.CSVRecord
Instantiate a csv record from a vector given either an input dataset and a one hot matrix, the index will be appended to the end of the record, or for regression it will append all values in the labels
fromString(String, String) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will take a given string and separator and convert it to an equivalent double array.
fromSystem() - Static method in class org.deeplearning4j.perf.listener.HardwareMetric
Runs HardwareMetric.fromSystem(SystemInfo) with a fresh SystemInfo
fromSystem(SystemInfo) - Static method in class org.deeplearning4j.perf.listener.HardwareMetric
Returns the relevant information needed for system diagnostics based on the SystemInfo
fromSystem(SystemInfo, String) - Static method in class org.deeplearning4j.perf.listener.HardwareMetric
Returns the relevant information needed for system diagnostics based on the SystemInfo
fromTableAndVocab(WeightLookupTable, VocabCache) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Load word vectors for the given vocab and table
fromYaml(String, Class<T>) - Static method in class org.deeplearning4j.eval.BaseEvaluation
 
fromYaml(String, Class<T>) - Static method in class org.deeplearning4j.eval.curves.BaseCurve
 
fromYaml(String, Class<T>) - Static method in class org.deeplearning4j.eval.curves.BaseHistogram
 
fromYaml(String) - Static method in class org.deeplearning4j.eval.curves.Histogram
 
fromYaml(String) - Static method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
fromYaml(String) - Static method in class org.deeplearning4j.eval.curves.RocCurve
 
fromYaml(String) - Static method in class org.deeplearning4j.eval.Evaluation
 
fromYaml(String) - Static method in class org.deeplearning4j.eval.EvaluationBinary
 
fromYaml(String) - Static method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Create a neural net configuration from json
fromYaml(String) - Static method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
fromYaml(String) - Static method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
Create a neural net configuration from json
fromYaml(String) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Create a neural net configuration from json
fromYaml(String) - Static method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
fromYaml(String) - Static method in class org.deeplearning4j.perf.listener.HardwareMetric
 
fromYaml(String) - Static method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Create a ParameterAveragingTrainingMaster instance by deserializing a YAML string that has been serialized with ParameterAveragingTrainingMaster.toYaml()
fromYaml(String) - Static method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
Create a SharedTrainingMaster instance by deserializing a YAML string that has been serialized with SharedTrainingMaster.toYaml()
FrozenLayer - Class in org.deeplearning4j.nn.conf.layers.misc
Created by Alex on 10/07/2017.
FrozenLayer(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
FrozenLayer - Class in org.deeplearning4j.nn.layers
For purposes of transfer learning A frozen layers wraps another dl4j layer within it.
FrozenLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.FrozenLayer
 
FrozenLayer.Builder - Class in org.deeplearning4j.nn.conf.layers.misc
 
FrozenLayerParamInitializer - Class in org.deeplearning4j.nn.params
Parameter initializer for FrozenLayer instances.
FrozenLayerParamInitializer() - Constructor for class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
FrozenLayerWithBackprop - Class in org.deeplearning4j.nn.conf.layers.misc
Frozen layer freezes parameters of the layer it wraps, but allows the backpropagation to continue.
FrozenLayerWithBackprop(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
FrozenLayerWithBackprop - Class in org.deeplearning4j.nn.layers
Frozen layer freezes parameters of the layer it wraps, but allows the backpropagation to continue.
FrozenLayerWithBackprop(Layer) - Constructor for class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
FrozenLayerWithBackpropParamInitializer - Class in org.deeplearning4j.nn.params
Parameter initializer for FrozenLayer instances.
FrozenLayerWithBackpropParamInitializer() - Constructor for class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
FrozenVertex - Class in org.deeplearning4j.nn.conf.graph
FrozenVertex is used for the purposes of transfer learning A frozen layers wraps another DL4J GraphVertex within it.
FrozenVertex(GraphVertex) - Constructor for class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
FrozenVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
FrozenVertex is used for the purposes of transfer learning A frozen layers wraps another DL4J GraphVertex within it.
FrozenVertex(GraphVertex) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.FrozenVertex
 
fullyConnected(int, int, double) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
function(Function<T, Result>) - Static method in class org.deeplearning4j.nearestneighbor.server.FunctionUtil
 
function(Function<T, Result>) - Static method in class org.deeplearning4j.ui.play.misc.FunctionUtil
 
function0(Supplier<Result>) - Static method in class org.deeplearning4j.nearestneighbor.server.FunctionUtil
 
function0(Supplier<Result>) - Static method in class org.deeplearning4j.ui.play.misc.FunctionUtil
 
FunctionType - Enum in org.deeplearning4j.ui.api
Enumeration for the type of function.
FunctionUtil - Class in org.deeplearning4j.nearestneighbor.server
Utility methods for Routing
FunctionUtil() - Constructor for class org.deeplearning4j.nearestneighbor.server.FunctionUtil
 
FunctionUtil - Class in org.deeplearning4j.ui.play.misc
Utility methods for Routing
FunctionUtil() - Constructor for class org.deeplearning4j.ui.play.misc.FunctionUtil
 
futureLeft - Variable in class org.deeplearning4j.clustering.vptree.VPTree.Node
 
futureRight - Variable in class org.deeplearning4j.clustering.vptree.VPTree.Node
 
fwdPassOutput - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
fwdPassOutputAsArrays - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
FwdPassReturn - Class in org.deeplearning4j.nn.layers.recurrent
Created by benny on 12/31/15.
FwdPassReturn() - Constructor for class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
FwdPassType - Enum in org.deeplearning4j.nn.api
Type of forward pass to do.
fz - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 

G

ga - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
gamma - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
gamma(double) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
Used only when 'true' is passed to BatchNormalization.Builder.lockGammaBeta(boolean).
gamma - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
GAMMA - Static variable in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
gammaConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
garbageCollection() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
garbageCollection(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
gateActivationFn - Variable in class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
 
gateActivationFn - Variable in class org.deeplearning4j.nn.conf.layers.AbstractLSTM
 
gateActivationFunction(String) - Method in class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
Activation function for the LSTM gates.
gateActivationFunction(Activation) - Method in class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
Activation function for the LSTM gates.
gateActivationFunction(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.AbstractLSTM.Builder
Activation function for the LSTM gates.
gateActivationFunction(String) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
Activation function for the LSTM gates.
gateActivationFunction(Activation) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
Activation function for the LSTM gates.
gateActivationFunction(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM.Builder
Deprecated.
Activation function for the LSTM gates.
GaussianDistribution - Class in org.deeplearning4j.nn.conf.distribution
A normal distribution.
GaussianDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.GaussianDistribution
Create a gaussian distribution (equivalent to normal) with the given mean and std
GaussianDropout - Class in org.deeplearning4j.nn.conf.dropout
Gaussian dropout.
GaussianDropout(double) - Constructor for class org.deeplearning4j.nn.conf.dropout.GaussianDropout
 
GaussianDropout(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.GaussianDropout
 
GaussianDropout(double, ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.GaussianDropout
 
GaussianNoise - Class in org.deeplearning4j.nn.conf.dropout
Applies additive, mean-zero Gaussian noise to the input - i.e., x = x + N(0,stddev).
Note that this differs from GaussianDropout, which applies multiplicative mean-1 N(1,s) noise.
Note also that schedules for the standard deviation value can also be used.
GaussianNoise(double) - Constructor for class org.deeplearning4j.nn.conf.dropout.GaussianNoise
 
GaussianNoise(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.GaussianNoise
 
GaussianNoise(double, ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.GaussianNoise
 
GaussianReconstructionDistribution - Class in org.deeplearning4j.nn.conf.layers.variational
Gaussian reconstruction distribution for variational autoencoder.
Outputs are modelled by a Gaussian distribution, with the mean and variances (diagonal covariance matrix) for each output determined by the network forward pass.
GaussianReconstructionDistribution() - Constructor for class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
Create a GaussianReconstructionDistribution with the default identity activation function.
GaussianReconstructionDistribution(Activation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
GaussianReconstructionDistribution(IActivation) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
gcName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
gcNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
gcNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
gcNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
gcNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
gcStats() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
gcStatsCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
GcStatsDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
gcStatsDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
GcStatsEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
gcStatsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
gen - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
gen(Random) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
gen(Random) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
gen(Random) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
generalValidation(String, Layer, IDropout, Double, Double, Double, Double, Distribution, List<LayerConstraint>, List<LayerConstraint>, List<LayerConstraint>) - Static method in class org.deeplearning4j.nn.conf.layers.LayerValidation
 
generalValidation(String, Layer, IDropout, double, double, double, double, Distribution, List<LayerConstraint>, List<LayerConstraint>, List<LayerConstraint>) - Static method in class org.deeplearning4j.nn.conf.layers.LayerValidation
 
generateAtMean(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
generateAtMean(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
generateAtMean(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
generateAtMean(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
generateAtMean(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
generateAtMean(INDArray) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Generate a sample from P(x|z), where x = E[P(x|z)] i.e., return the mean value for the distribution
generateAtMeanGivenZ(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Given a specified values for the latent space as input (latent space being z in p(z|data)), generate output from P(x|z), where x = E[P(x|z)]
i.e., return the mean value for the distribution P(x|z)
generateGenericDictionaryEntry(T) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
generateGenericDictionaryEntry(DictionaryEntry) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
 
generateRandom(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
generateRandom(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
generateRandom(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
generateRandom(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
generateRandom(INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
generateRandom(INDArray) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Randomly sample from P(x|z) using the specified distribution parameters
generateRandomGivenZ(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Given a specified values for the latent space as input (latent space being z in p(z|data)), randomly generate output x, where x ~ P(x|z)
generateUniform(int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will generate a series of uniformally distributed numbers between l times
generator - Variable in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
generator - Variable in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
GenericDictionaryEntry - Class in com.atilika.kuromoji.dict
 
GenericDictionaryEntry(GenericDictionaryEntry.Builder) - Constructor for class com.atilika.kuromoji.dict.GenericDictionaryEntry
 
GenericDictionaryEntry.Builder - Class in com.atilika.kuromoji.dict
 
GenericExceptionMapper - Class in org.deeplearning4j.ui.exception
 
GenericExceptionMapper() - Constructor for class org.deeplearning4j.ui.exception.GenericExceptionMapper
 
get(int) - Method in class com.atilika.kuromoji.buffer.StringValueMapBuffer
 
get(int, int) - Method in class com.atilika.kuromoji.dict.ConnectionCosts
 
get(Object) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Get value associated with specified key in this trie
get(int) - Method in class org.ansj.domain.Result
 
get() - Static method in class org.ansj.library.AmbiguityLibrary
获取系统默认词典
get(String) - Static method in class org.ansj.library.AmbiguityLibrary
根据key获取
get() - Static method in class org.ansj.library.CrfLibrary
 
get(String) - Static method in class org.ansj.library.CrfLibrary
根据key获取crf分词器
get() - Static method in class org.ansj.library.DicLibrary
 
get(String) - Static method in class org.ansj.library.DicLibrary
根据模型名称获取crf模型
get() - Static method in class org.ansj.library.StopLibrary
 
get(String) - Static method in class org.ansj.library.StopLibrary
根据模型名称获取crf模型
get() - Static method in class org.ansj.library.SynonymsLibrary
 
get(String) - Static method in class org.ansj.library.SynonymsLibrary
 
get(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
Gets current state for specified entry
get() - Method in class org.deeplearning4j.models.glove.count.RoundCount
 
get(Integer) - Static method in class org.deeplearning4j.nn.modelimport.keras.config.KerasLayerConfigurationFactory
 
get(short) - Static method in enum org.deeplearning4j.ui.stats.sbe.MemoryType
 
get(short) - Static method in enum org.deeplearning4j.ui.stats.sbe.StatSource
 
get(short) - Static method in enum org.deeplearning4j.ui.stats.sbe.StatsType
 
get(short) - Static method in enum org.deeplearning4j.ui.stats.sbe.StatType
 
get(short) - Static method in enum org.deeplearning4j.ui.stats.sbe.SummaryType
 
get0(INDArray[]) - Static method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
get3DOutputSize(INDArray, int[], int[], int[], ConvolutionMode, int[], boolean) - Static method in class org.deeplearning4j.util.Convolution3DUtils
Get the output size (depth/height/width) for the given input data and CNN3D configuration
get3DSameModeTopLeftPadding(int[], int[], int[], int[], int[]) - Static method in class org.deeplearning4j.util.Convolution3DUtils
Get top and left padding for same mode only for 3d convolutions
getActivationFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils
Get activation function from Keras layer configuration.
getActivationLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations.KerasLeakyReLU
Get DL4J ActivationLayer.
getActivationLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasActivation
Get DL4J ActivationLayer.
getActualTotal(T) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Computes the total number of times the class actually appeared in the data.
getAddress() - Method in class org.deeplearning4j.ui.api.UIServer
Get the address of the UI
getAddress() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
getAllCandidates(INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPForest
Get all candidates relative to a specific datapoint.
getAllCandidates(INDArray, List<RPTree>, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Get the search candidates as indices given the input and similarity function
getAllFeatures(int) - Method in interface com.atilika.kuromoji.dict.Dictionary
Gets all features of the specified word id
getAllFeatures(int) - Method in class com.atilika.kuromoji.dict.InsertedDictionary
 
getAllFeatures(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
getAllFeatures(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getAllFeatures(int) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
getAllFeatures() - Method in class com.atilika.kuromoji.TokenBase
Gets all features for this token as a comma-separated String
getAllFeaturesArray(int) - Method in interface com.atilika.kuromoji.dict.Dictionary
Gets all features of the specified word id as a String array
getAllFeaturesArray(int) - Method in class com.atilika.kuromoji.dict.InsertedDictionary
 
getAllFeaturesArray(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
getAllFeaturesArray(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getAllFeaturesArray(int) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
getAllFeaturesArray() - Method in class com.atilika.kuromoji.TokenBase
Gets all features for this token as a String array
getAllFields(Class<?>) - Static method in class org.deeplearning4j.util.Dl4jReflection
 
getAllFreq() - Method in class org.ansj.domain.NewWord
 
getAllStaticInfos(String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get all static informations for the given session and type ID
getAllStaticInfos(String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getAllStaticInfos(String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getAllUpdatesAfter(String, String, String, long) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get all updates for the given session and worker ID, that occur after (not including) the given timestamp.
getAllUpdatesAfter(String, String, long) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get all updates for the given session ID (all worker IDs), that occur after (not including) the given timestamp.
getAllUpdatesAfter(String, String, String, long) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getAllUpdatesAfter(String, String, long) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getAllUpdatesAfter(String, String, String, long) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getAllUpdatesAfter(String, String, long) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getAllUpdateTimes(String, String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
List the times of all updates for the specified sessionID, typeID and workerID
getAllUpdateTimes(String, String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getAllUpdateTimes(String, String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getAlpha() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getAlpha() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getAlpha() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getAlphaDropoutLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasAlphaDropout
Get DL4J DropoutLayer with Alpha dropout.
getAmbiguityForest() - Method in class org.ansj.splitWord.Analysis
 
getAnalysisEngine() - Method in class org.deeplearning4j.text.uima.UimaResource
 
getArray() - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler.GrowableIntArray
 
getArrays() - Method in class org.deeplearning4j.streaming.kafka.NDArrayConsumer
Receive an ndarray from the queue
getArraysReader() - Static method in class org.ansj.util.MyStaticValue
核心词典
getAtrousConvolution1D() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution1D
Get DL4J ConvolutionLayer.
getAtrousConvolution2D() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution2D
Get DL4J ConvolutionLayer.
getAveragePointDistanceFromClusterCenter() - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getBaseBuffer() - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
getBaseDir() - Method in class org.deeplearning4j.base.MnistFetcher
 
getBaseDirForRDD(JavaRDD<?>) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
getBaseForm() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getBaseForm() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the base form (also called dictionary form) for this token (基本形)
getBatch() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
getBatch() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
getBatch() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getBatchNormalizationLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Get DL4J BatchNormalizationLayer.
getBegin() - Static method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getBegin() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
getBegin() - Method in class org.deeplearning4j.text.movingwindow.Window
 
getBestModel() - Method in interface org.deeplearning4j.earlystopping.EarlyStoppingModelSaver
Retrieve the best model that was previously saved
getBestModel() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingResult
 
getBestModel() - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
getBestModel() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
getBestModel() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
getBias() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
getBiasAdaGrad() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
getBiasL1RegularizationFromConfig(Map<String, Object>, boolean, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get L1 bias regularization (if any) from Keras bias regularization configuration.
getBiasParameterKeys() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
getBidirectionalLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Get DL4J Bidirectional layer.
getBinCounts() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
getBinLowerBounds() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
getBinLowerBounds() - Method in class org.deeplearning4j.eval.curves.Histogram
 
getBinMidValues() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
getBinMidValues() - Method in class org.deeplearning4j.eval.curves.Histogram
 
getBinUpperBounds() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
getBinUpperBounds() - Method in class org.deeplearning4j.eval.curves.Histogram
 
getBit() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Returns this node's critical bit index
getBottomRightXY() - Method in class org.deeplearning4j.nn.layers.objdetect.DetectedObject
Get the bottom right X/Y coordinates of the detected object
getBoundary() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getBoundary() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getBoxesCreated() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
getBroadcastDims(int[], int) - Static method in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
getBroadCastVocabCache() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getBufferEntries() - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
Deprecated.
getBytesPerElement(DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
getCache() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getCallbackTypeIDs() - Method in interface org.deeplearning4j.ui.api.UIModule
Get the list of Type IDs that should be collected from the registered StatsStorage instances, and passed on to the UIModule.reportStorageEvents(Collection) method.
getCallbackTypeIDs() - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
getCallbackTypeIDs() - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
getCallbackTypeIDs() - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
getCallbackTypeIDs() - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
getCallbackTypeIDs() - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
getCandidates(INDArray) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
 
getCandidates(INDArray, List<RPTree>, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Get the search candidates as indices given the input and similarity function
getCardinality() - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
getCasPool() - Method in class org.deeplearning4j.text.uima.UimaResource
 
getCategoryDefinitions() - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
getCenterOfMass() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getCenterOfMass() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getCharacterDefinition() - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getCheckBuffer() - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
getChildren() - Method in class com.atilika.kuromoji.trie.Trie.Node
Returns this node's child nodes
getChildren() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getChildren() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
getClasses() - Method in class org.deeplearning4j.eval.ConfusionMatrix
Gives the applyTransformToDestination of all classes in the confusion matrix.
getClassLabel(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
getClassName() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get Keras layer class name.
getClassNameFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get Keras layer class name from Keras layer configuration.
getClient() - Method in class org.deeplearning4j.aws.s3.BaseS3
 
getCluster(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getClusterCenter(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getClusterCenterId(String) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getClusterCount() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getClusterInfo(String) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getClusteringOptimizationValue() - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
getClustersInfos() - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getClustersWhereAverageDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
getClustersWhereMaximumDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
getCode(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
 
getCode(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
 
getCode(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
 
getCode(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
getCodeLength(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
 
getCodeLength(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
 
getCodeLength(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
 
getCodeLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
getCodeLength() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Returns Huffman code length.
getCodeList(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
getCodeName() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
 
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
Returns implementation code name
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
getCodeName() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
getCodeName() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
getCodeName() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
 
getCodeName() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
getCodeName() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDBOW
 
getCodeName() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDM
 
getCodepointCategories() - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
getCodes() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getCodes() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Returns Huffman tree codes
getCodeString(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
 
getCodeString(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
 
getCodeString(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
 
getCodeString(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
getCols() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Number of columns per image.
getCompanReader() - Static method in class org.ansj.util.MyStaticValue
机构名词典
getCompanyMap() - Static method in class org.ansj.library.company.CompanyAttrLibrary
 
getComputationGraph() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModel
Build a ComputationGraph from this Keras Model configuration and import weights.
getComputationGraph(boolean) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModel
Build a ComputationGraph from this Keras Model configuration and (optionally) import weights.
getComputationGraphConfiguration() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModel
Configure a ComputationGraph from this Keras Model configuration.
getComputationGraphUpdater() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
 
getComputationGraphUpdater() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getConf(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
getConf() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
 
getConf() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getConf() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
getConfidenceMatrix(INDArray, int, int) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
Get the confidence matrix (confidence for all x/y positions) for the specified bounding box, from the network output activations array
getConfig() - Method in class org.ansj.app.crf.Model
 
getConfiguration() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method returns configuration of this ComputationGraph
getConfusionMatrix() - Method in class org.deeplearning4j.eval.Evaluation
Returns the confusion matrix variable
getConfusionMatrixAtPoint(int) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
Get the binary confusion matrix for the given position.
getConfusionMatrixAtThreshold(double) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
Get the binary confusion matrix for the given threshold.
getConjugatedForm() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getConjugationForm() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the conjugation form for this token (活用形), if applicable
getConjugationType() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getConjugationType() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the conjugation type for this token (活用型), if applicable
getConnectedVertexIndices(int) - Method in interface org.deeplearning4j.graph.api.IGraph
Return an array of indexes of vertices that the specified vertex is connected to.
Specifically, for undirected graphs return int[] of all X.vertexID() such that (vertex -- X) exists
For directed graphs, return int[] of all X.vertexID() such that (vertex -> X) exists
getConnectedVertexIndices(int) - Method in class org.deeplearning4j.graph.graph.Graph
 
getConnectedVertexIndices(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getConnectedVertexIndices(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Return an array of indexes of vertices that the specified vertex is connected to.
Specifically, for undirected graphs return int[] of all X.vertexID() such that (vertex -- X) exists
For directed graphs, return int[] of all X.vertexID() such that (vertex -> X) exists
getConnectedVertices(int) - Method in interface org.deeplearning4j.graph.api.IGraph
Get a list of all of the vertices that the specified vertex is connected to
Specifically, for undirected graphs return list of all X such that (vertex -- X) exists
For directed graphs, return list of all X such that (vertex -> X) exists
getConnectedVertices(int) - Method in class org.deeplearning4j.graph.graph.Graph
 
getConnectedVertices(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getConnectedVertices(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Get a list of all of the vertices that the specified vertex is connected to
Specifically, for undirected graphs return list of all X such that (vertex -- X) exists
For directed graphs, return list of all X such that (vertex -> X) exists
getConstraintsFromConfig(Map<String, Object>, String, KerasLayerConfiguration, int) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils
Get constraint initialization from Keras layer configuration.
getContext(Class<?>) - Method in class org.deeplearning4j.ui.providers.ObjectMapperProvider
 
getConvolution1DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Get DL4J ConvolutionLayer.
getConvolution2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution2D
Get DL4J ConvolutionLayer.
getConvolution3DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution3D
Get DL4J ConvolutionLayer.
getConvolutionModeFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils
Get convolution border mode from Keras layer configuration.
getCoOccurrenceCount(T, T) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences
This method returns cooccurrence distance weights for two SequenceElements
getCoOccurrenceCounts() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getCorruptedInput(INDArray, double) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
Corrupts the given input by doing a binomial sampling given the corruption level
getCosts() - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
getCount() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
 
getCount(T, T) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Gives the count of the number of times the "predicted" class was predicted for the "actual" class.
getCount(T, T) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
getCount(Pair<T, T>) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
getCount() - Method in class org.deeplearning4j.models.word2vec.StreamWork
 
getCount() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
getCountActualNegative(int) - Method in class org.deeplearning4j.eval.ROCBinary
Get the actual negative count (accounting for any masking) for the specified output/column
getCountActualNegative(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
Get the actual negative count (accounting for any masking) for the specified output/column
getCountActualPositive(int) - Method in class org.deeplearning4j.eval.ROCBinary
Get the actual positive count (accounting for any masking) for the specified output/column
getCountActualPositive(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
Get the actual positive count (accounting for any masking) for the specified class
getCounter() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
getCounter() - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
getCounter() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
getCreds() - Method in class org.deeplearning4j.aws.s3.BaseS3
 
getCropping1DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping1D
Get DL4J Cropping1D layer.
getCropping2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping2D
Get DL4J Cropping2D layer.
getCropping3DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping3D
Get DL4J Cropping3D layer.
getCsvFiles(File) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
getCudnnForwardArgs(INDArray, int[], int[], int[], int[], ConvolutionMode) - Static method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
getCumSize() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getCumSize() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getCumSumRDD() - Method in class org.deeplearning4j.spark.text.functions.CountCumSum
 
getCurrentIndex() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
The current entry index.
getCurrentProducerIndex() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
getD() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getData() - Method in class org.deeplearning4j.plot.BarnesHutTsne
Return the matrix reduce to the NDim.
getDataConfiguration() - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Get the WorkerConfiguration that contains information such as minibatch sizes, etc
getDataConfiguration() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getDataConfiguration() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getDataSetMetaData() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the DataSet metadata, if any (null otherwise).
getDataSetMetaData() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getDataSetMetaData() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getDataSetMetaDataClassName() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the class
getDataSetMetaDataClassName() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getDataSetMetaDataClassName() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getDataSetMetaDataClassName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getDataSetMetaDataClassName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getDataSetPath(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
getDataSets(String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Get list of data sets from group path.
getDeconvolution2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDeconvolution2D
Get DL4J ConvolutionLayer.
getDeconvolutionOutputSize(INDArray, int[], int[], int[], ConvolutionMode, int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get the output size of a deconvolution operation for given input data.
getDefault(String) - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
getDefaultConfiguration() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getDefaultExportDirectory(SparkContext) - Method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
getDefaultLanguage() - Method in interface org.deeplearning4j.ui.api.I18N
Get the currently set default language as an ISO 639-1 code
getDefaultLanguage() - Method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
getDefaultStepFunctionForOptimizer(Class<? extends ConvexOptimizer>) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getDenseLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Get DL4J DenseLayer.
getDepth() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
Deprecated.
getDepthwiseConvolution2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Get DL4J DepthwiseConvolution2D.
getDescription(String) - Static method in class org.deeplearning4j.text.annotator.PoStagger
 
getDescription() - Static method in class org.deeplearning4j.text.annotator.SentenceAnnotator
 
getDescription() - Static method in class org.deeplearning4j.text.annotator.StemmerAnnotator
 
getDescription(String) - Static method in class org.deeplearning4j.text.annotator.StemmerAnnotator
 
getDescription(String) - Static method in class org.deeplearning4j.text.annotator.TokenizerAnnotator
 
getDescription() - Static method in class org.deeplearning4j.text.annotator.TokenizerAnnotator
 
getDeserializedType() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
getDeserializedType() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
getDeserializedType() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
getDeserializedType() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
getDeviceCurrentBytes() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get device (GPU, etc) current bytes - may be null if no compute devices are present in the system
getDeviceDescription(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
getDeviceDescription(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
getDeviceMaxBytes() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get device (GPU, etc) maximum bytes - may be null if no compute devices are present in the system
getDictionaryEntries() - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
Deprecated.
getDictionaryEntries() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
getDimOrder() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get Keras layer backend dimension order.
getDimOrderFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get Keras (backend) dimension order from Keras layer configuration.
getDistance(Point, Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getDistance() - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
getDistanceFromNearestCluster(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getDistanceFunction() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
getDistanceMeasure() - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns an instance of the distance measure associated to the LSH family of this implementation.
getDistanceMeasure() - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
getDistancesBetweenClustersCenters() - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getDistanceToCenter(Point) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Get the distance to the given point from the cluster
getDropoutFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get dropout from Keras layer configuration.
getDropoutLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDropout
Get DL4J DropoutLayer.
getDurationAsString(List<EventStats>, String) - Static method in class org.deeplearning4j.spark.stats.StatsUtils
 
getDurationMs() - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
getDurationMs() - Method in interface org.deeplearning4j.spark.stats.EventStats
 
getEc2() - Method in class org.deeplearning4j.aws.s3.BaseS3
 
getEdgesOut(int) - Method in interface org.deeplearning4j.graph.api.IGraph
Returns a list of edges for a vertex with a given index For undirected graphs, returns all edges incident on the vertex For directed graphs, only returns outward directed edges
getEdgesOut(int) - Method in class org.deeplearning4j.graph.graph.Graph
 
getEdgesOut(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getEdgesOut(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Returns a list of edges for a vertex with a given index For undirected graphs, returns all edges incident on the vertex For directed graphs, only returns outward directed edges
getElementByIndex(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
This method returns sequence element by index
getElementByLabel(String) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Returns single element out of this sequence by its label
getElementFrequency() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method returns SequenceElement's frequency in current training corpus.
getElements() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Returns an ordered unmodifiable list of elements from this sequence
getElementsLearningAlgorithm() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
getElementsLearningAlgorithm() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
getElementsLearningAlgorithm() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
getElementsLearningAlgorithm() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
getElementsScore() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
getEmbeddingLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Get DL4J Embedding Sequence layer.
getEmptyConstructor(Class<?>) - Static method in class org.deeplearning4j.util.Dl4jReflection
Gets the empty constructor from a class
getEn(String) - Static method in class org.ansj.app.crf.Config
 
getEnd() - Static method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getEnd() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
getEnd() - Method in class org.deeplearning4j.text.movingwindow.Window
 
getEndIndexArr() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
getEndSizeArr() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
getEnglishReader() - Static method in class org.ansj.util.MyStaticValue
英文词典
getEntryCount() - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
getEntryIndices(String) - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
Number of bytes for each entry.
getEntryLength() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
 
getEnvKey(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
getEnvKey(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
getEnvValue(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
getEnvValue(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
getEpoch(Model) - Static method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
 
getEpochCount() - Method in interface org.deeplearning4j.nn.api.Layer
 
getEpochCount() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getEpochCount() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getEpochCount() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getEpochCount(Model) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getEps() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getEpsilon() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
getEpsilon() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getEpsilon() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the epsilon/error (i.e., dL/dOutput) array previously set for this GraphVertex
getError() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getExamplesPerSecond() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get examples per second since the last report
getExpTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getExpTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getExpTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getExtraMetaData() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Get extra metadata, if any
getExtraMetaData() - Method in class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
getExtraMetaData() - Method in class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
getFalsePositiveRate(int) - Method in class org.deeplearning4j.eval.curves.RocCurve
 
getFeature(int, int...) - Method in interface com.atilika.kuromoji.dict.Dictionary
Gets one or more specific features of a token
getFeature(int, int...) - Method in class com.atilika.kuromoji.dict.InsertedDictionary
 
getFeature(int, int...) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
getFeature(int, int...) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getFeature(int, int...) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
getFeature(int) - Method in class com.atilika.kuromoji.TokenBase
Gets a numbered feature for this token
getFeature(char...) - Method in class org.ansj.app.crf.Model
获得特征所在权重数组
getFeatures() - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry
 
getFieldsAsProperties(Object, Class<?>[]) - Static method in class org.deeplearning4j.util.Dl4jReflection
Get fields as properties
getFileForCheckpoint(Checkpoint) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Get the model file for the given checkpoint.
getFileForCheckpoint(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Get the model file for the given checkpoint number.
getFileHeader() - Static method in class org.deeplearning4j.optimize.listeners.checkpoint.Checkpoint
 
getFiles() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getFinalResult(MultiLayerNetwork) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Get the final result to be returned to the driver
getFinalResult(ComputationGraph) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Get the final result to be returned to the driver
getFinalResult(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getFinalResult(ComputationGraph) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getFinalResult(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getFinalResult(ComputationGraph) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getFinalResultNoData() - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Get the final result to be returned to the driver, if no data was available for this executor
getFinalResultNoData() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getFinalResultNoData() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getFinalResultNoDataWithStats() - Method in interface org.deeplearning4j.spark.api.TrainingWorker
As per TrainingWorker.getFinalResultNoData() but used when SparkTrainingStats are being collected
getFinalResultNoDataWithStats() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getFinalResultNoDataWithStats() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getFinalResultWithStats(MultiLayerNetwork) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
getFinalResultWithStats(ComputationGraph) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
getFinalResultWithStats(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getFinalResultWithStats(ComputationGraph) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getFinalResultWithStats(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getFinalResultWithStats(ComputationGraph) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getFirstPart() - Method in class org.deeplearning4j.ui.UiConnectionInfo
This method returns scheme, address and port for this UiConnectionInfo i.e: https://localhost:8080
getFlattenedGradientsView() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
getFlattenedGradientsView() - Method in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
getFlattenedGradientsView() - Method in class org.deeplearning4j.nn.updater.LayerUpdater
 
getFlattenedGradientsView() - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
getFlattenedSize() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
getFloat(byte[]) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Read a string from a data input stream Credit to: https://github.com/NLPchina/Word2VEC_java/blob/master/src/com/ansj/vec/Word2VEC.java
getFocusWord() - Method in class org.deeplearning4j.text.movingwindow.Window
 
getForest() - Method in class org.ansj.dic.LearnTool
 
getForgetBiasInitFromConfig(Map<String, Object>, boolean) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Get LSTM forget gate bias initialization from Keras layer configuration.
getFrameId() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
getFreq() - Method in class org.ansj.app.keyword.Keyword
 
getFreq(int, int) - Method in class org.ansj.domain.PersonNatureAttr
得道某一个位置的词频
getFullAddress(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo
 
getFullAddress() - Method in class org.deeplearning4j.ui.UiConnectionInfo
 
getGain() - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
getGarbageCollectionStats() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the garbage collection stats: Pair contains GC name and the delta count/time values
getGarbageCollectionStats() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getGarbageCollectionStats() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getGateActivationFromConfig(Map<String, Object>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Get LSTM gate activation function from Keras layer configuration.
getGaussianDropoutLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianDropout
Get DL4J DropoutLayer with Gaussian dropout.
getGaussianNoiseLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianNoise
Get DL4J DropoutLayer with Gaussian dropout.
getGcName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
getGcName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
getGen() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getGlobalPoolingLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasGlobalPooling
Get DL4J SubsamplingLayer.
getGradient(int, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getGradient(int, double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Returns gradient for specified word
getGradient(int, double, double) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Deprecated.
getGradientCheck() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getGradientFor(String) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
getGradientFor(String) - Method in interface org.deeplearning4j.nn.gradient.Gradient
The gradient for the given variable
getGradients() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getGradientsAccumulator() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
This method returns GradientsAccumulator instance used in this optimizer.
getGradientsAccumulator() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.DeconvolutionParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.ElementWiseParamInitializer
Return a map of gradients (in their standard non-flattened representation), taken from the flattened (row vector) gradientView array.
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
getGradientsFromFlattened(NeuralNetConfiguration, INDArray) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
getGradientsViewArray() - Method in interface org.deeplearning4j.nn.api.Model
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getGradientsViewArray() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getGradientsViewArray() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getGradientUpdater() - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
getGraph() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
getGraph() - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
getGraphWalkIterators(int) - Method in interface org.deeplearning4j.graph.iterator.parallel.GraphWalkIteratorProvider
Get a list of GraphWalkIterators.
getGraphWalkIterators(int) - Method in class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
 
getGraphWalkIterators(int) - Method in class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
 
getGridHeight(int[]) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
Returns inputShape[2] / 32, where inputShape[2] should be a multiple of 32.
getGridWidth(int[]) - Static method in class org.deeplearning4j.zoo.model.helper.DarknetHelper
Returns inputShape[1] / 32, where inputShape[1] should be a multiple of 32.
getGroups(String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Get list of groups from group path.
getHardwareUID() - Static method in class org.deeplearning4j.util.UIDProvider
 
getHasBiasFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Determine if layer should be instantiated with bias
getHashLength() - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the size of a hash compared against in one hashing bucket, corresponding to an AND construction denoting hashLength by h, amplifies a (d1, d2, p1, p2) hash family into a (d1, d2, p1^h, p2^h)-sensitive one (match probability is decreasing with h)
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
 
getHeaderSize() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
 
getHeadWord() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
getHeightAndWidth(NeuralNetConfiguration) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get the height and width from the configuration
getHeightAndWidth(int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get the height and width for an image
getHh() - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
getHistograms(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the histograms for all parameters, for a given StatsType (Parameters/Updates/Activations)
getHistograms(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getHistograms(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getHistoricalGradient() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Deprecated.
getHosts() - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
getHw() - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
getHwDeviceDescription() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHwDeviceTotalMemory() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHWDFromInputType(InputType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get heigh/width/channels as length 3 int[] from the InputType
getHwHardwareUID() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHwHardwareUID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getHwHardwareUID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getHwJvmAvailableProcessors() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHwJvmMaxMemory() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHwNumDevices() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHwOffHeapMaxMemory() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getHyperPlaneAt(int) - Method in class org.deeplearning4j.clustering.randomprojection.RPHyperPlanes
 
getId(String) - Static method in class org.ansj.library.DATDictionary
 
getImages() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Get the underlying images file as MnistImageFile.
getInboundLayerNames() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get list of inbound layers.
getInboundLayerNamesFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get list of inbound layers from Keras layer configuration.
getINDArray() - Method in class org.deeplearning4j.streaming.kafka.NDArrayConsumer
 
getIndex() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Inverted index
getIndex() - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
getIndex() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getIndex() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Returns index in Huffman tree
getIndex() - Method in interface org.deeplearning4j.nn.api.Layer
Get the layer index.
getIndex() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getIndex() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
getIndex() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getIndex() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getIndex() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getIndex() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getInDimension() - Method in interface org.deeplearning4j.clustering.lsh.LSH
 
getInitConfig() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getInitialClusterCount() - Method in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
getInitialClusterCount() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
getInitialModel() - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Get the initial model when training a MultiLayerNetwork/SparkDl4jMultiLayer
getInitialModel() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getInitialModel() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getInitialModelGraph() - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Get the initial model when training a ComputationGraph/SparkComputationGraph
getInitialModelGraph() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
getInitialModelGraph() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
getInitTypeClass() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Full class name for the initialization information that will be posted.
getInitTypeClass(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getInitTypeClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getInnerConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getInnerConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
getInnerLayerConfigFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get inner layer config from Keras layer configuration.
getInnerNodeVector(int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
getInput(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the previously set input for the ComputationGraph
getInput() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getInput() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
getInput() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getInputBatches() - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
Get input batches - and their associated input mask arrays, if any
Note that usually the returned list will be of size 1 - however, in the batched case, not all inputs can actually be batched (variable size inputs to fully convolutional net, for example).
getInputBatches() - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
getInputBatches() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
getInputMaskArrays() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the previously set feature/input mask arrays for the ComputationGraph
getInputMiniBatchSize() - Method in interface org.deeplearning4j.nn.api.Layer
Get current/last input mini-batch size, as set by setInputMiniBatchSize(int)
getInputMiniBatchSize() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getInputMiniBatchSize() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getInputMiniBatchSize() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getInputMiniBatchSize() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getInputMiniBatchSize() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getInputPreProcess(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasFlatten
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasPermute
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasGlobalPooling
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputPreprocessor(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Gets appropriate DL4J InputPreProcessor for given InputTypes.
getInputs() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the previously set inputs for the ComputationGraph
getInputs() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getInputs() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the array of inputs previously set for this GraphVertex
getInputShape() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get layer input shape.
getInputShapeFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get Keras input shape from Keras layer configuration.
getInputStream(String) - Static method in class org.ansj.dic.DicReader
 
getInputStream() - Method in class org.deeplearning4j.ui.i18n.I18NResource
 
getInputVertices() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
A representation of the vertices that are inputs to this vertex (inputs duing forward pass)
Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
getInputVertices() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getInputVertices() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
A representation of the vertices that are inputs to this vertex (inputs duing forward pass)
Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output connection (see GraphVertex.getNumOutputConnections() of vertex Y is the Xth input to this vertex
getInsideLayer() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
getInsideLayer() - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
getInstance() - Static method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.DeconvolutionParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.ElementWiseParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
getInstance() - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
 
getInstance() - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.VocabHolder
 
getInstance() - Static method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
getInstance() - Static method in class org.deeplearning4j.spark.time.NTPTimeSource
 
getInstance() - Static method in class org.deeplearning4j.spark.time.SystemClockTimeSource
 
getInstance() - Static method in class org.deeplearning4j.spark.time.TimeSourceProvider
Get a TimeSource the default TimeSource instance (default: NTPTimeSource
getInstance(String) - Static method in class org.deeplearning4j.spark.time.TimeSourceProvider
Get a specific TimeSource by class name
getInstance() - Static method in class org.deeplearning4j.ui.api.UIServer
Get (and, initialize if necessary) the UI server.
getInstance() - Static method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
getInstance() - Static method in class org.deeplearning4j.ui.i18n.I18NProvider
Get the current/global I18N instance
getInstance() - Static method in class org.deeplearning4j.ui.WebReporter
 
getInternationalizationResources() - Method in interface org.deeplearning4j.ui.api.UIModule
 
getInternationalizationResources() - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
getInternationalizationResources() - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
getInternationalizationResources() - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
getInternationalizationResources() - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
getInternationalizationResources() - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
getIs() - Method in class org.deeplearning4j.models.word2vec.StreamWork
 
getIsCollectTrainingStats() - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the current setting for collectTrainingStats
getIsCollectTrainingStats() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getIsCollectTrainingStats() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getItem(int) - Static method in class org.ansj.library.DATDictionary
 
getItem(String) - Static method in class org.ansj.library.DATDictionary
 
getItem() - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
getIter(Model) - Static method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
 
getIterationCount() - Method in class org.deeplearning4j.clustering.iteration.IterationHistory
 
getIterationCount() - Method in interface org.deeplearning4j.nn.api.Layer
 
getIterationCount() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getIterationCount() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getIterationCount() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getIterationCount(Model) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getIterationCount() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the current iteration number
getIterationInfo(int) - Method in class org.deeplearning4j.clustering.iteration.IterationHistory
 
getIterations() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getIUpdaterWithDefaultConfig() - Method in enum org.deeplearning4j.nn.conf.Updater
 
getJsonMapper() - Static method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
getJvmCurrentBytes() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get JVM memory - current bytes used
getJvmID() - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
getJvmID() - Method in interface org.deeplearning4j.spark.stats.EventStats
 
getJvmMaxBytes() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get JVM memory - max available bytes
getJVMUID() - Static method in class org.deeplearning4j.util.UIDProvider
 
getK() - Method in class org.ansj.domain.KV
 
getKerasLayerFromConfig(Map<String, Object>, KerasLayerConfiguration, Map<String, Class<? extends KerasLayer>>, Map<String, ? extends KerasLayer>) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Build KerasLayer from a Keras layer configuration.
getKerasLayerFromConfig(Map<String, Object>, boolean, KerasLayerConfiguration, Map<String, Class<? extends KerasLayer>>, Map<String, ? extends KerasLayer>) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Build KerasLayer from a Keras layer configuration.
getKerasMajorVersion() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get Keras major version of this layer.
getKernelSizeFromConfig(Map<String, Object>, int, KerasLayerConfiguration, int) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils
Get (convolution) kernel size from Keras layer configuration.
getKey() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Get this node's key
getKey() - Method in class com.atilika.kuromoji.trie.Trie.Node
Return this node's key
getKeyMapper() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Should only be used by PatriciaTrieFormatter
getKeySet() - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
getKeySet() - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
 
getKeySet() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
getKeySet() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
getKeyWords() - Method in class org.ansj.app.summary.pojo.Summary
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.AbstractLSTM
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Get the L1 coefficient for the given parameter.
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
getL1ByParam(String) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.AbstractLSTM
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Get the L2 coefficient for the given parameter.
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
getL2ByParam(String) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
getLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method should return string representation of this SequenceElement, so it can be used for
getLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
 
getLabel() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
getLabel() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
getLabel() - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument
Deprecated.
getLabel(int) - Method in interface org.deeplearning4j.text.labels.LabelsProvider
 
getLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
 
getLabel(int) - Method in class org.deeplearning4j.zoo.util.BaseLabels
 
getLabel(int) - Method in class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
Returns the description of tne nth class in the 1000 classes of ImageNet.
getLabel(int) - Method in interface org.deeplearning4j.zoo.util.Labels
Returns the description of the nth class from the classes of a dataset.
getLabelClassMap() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
getLabelCountsEachClass() - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
getLabelMaskArrays() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the previously set label/output mask arrays for the ComputationGraph
getLabels() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Get dataset iterator record reader labels
getLabels() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Get dataset iterator record reader labels
getLabels() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Get dataset iterator record reader labels
getLabels() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the labels as a List
getLabels(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the label assignments for the given set as a List
getLabels() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Get the underlying labels file as MnistLabelFile.
getLabels() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
getLabels(List<BasicModelUtils.WordSimilarity>, int) - Static method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
getLabels() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getLabels() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
getLabels() - Method in interface org.deeplearning4j.nn.api.layers.IOutputLayer
Get the labels array previously set with IOutputLayer.setLabels(INDArray)
getLabels() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
getLabels() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
getLabels() - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
getLabels() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLabels() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
getLabels() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
getLabels() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
This method returns the list of labels used by this generator instance.
getLabels() - Method in class org.deeplearning4j.zoo.util.BaseLabels
Override to return labels when not calling BaseLabels.BaseLabels(String).
getLabels(String) - Method in class org.deeplearning4j.zoo.util.BaseLabels
Returns labels based on the text file resource.
getLabels() - Method in class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
 
getLabels2d(LayerWorkspaceMgr, ArrayType) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
getLabels2d() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
getLabels2d(LayerWorkspaceMgr, ArrayType) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
getLabels2d(LayerWorkspaceMgr, ArrayType) - Method in class org.deeplearning4j.nn.layers.OutputLayer
 
getLabels2d(LayerWorkspaceMgr, ArrayType) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
getLabels2d(LayerWorkspaceMgr, ArrayType) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
getLabelsArray(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the label assignments for the given set as a character array.
getLabelsArrays() - Method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the labels as a character array
getLabelsSource() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
This method returns LabelsSource instance, containing all labels derived from this iterator
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
getLabelsSource() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
getLabelsSource() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
This method returns LabelsSource instance, containing all labels derived from this iterator
getLabelsSource() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
getLambda() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getLastChecked() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getLastChecked() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getLastEtlTime() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method returns ETL time field value
getLastEtlTime() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLastUpdateTime() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getLastWords() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getLatestModel() - Method in interface org.deeplearning4j.earlystopping.EarlyStoppingModelSaver
Retrieve the most recent model that was previously saved
getLatestModel() - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
getLatestModel() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
getLatestModel() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
getLatestUpdate(String, String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the latest update record (i.e., update record with the largest timestamp value) for the specified session and worker IDs
getLatestUpdate(String, String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getLatestUpdate(String, String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getLatestUpdateAllWorkers(String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the latest update for all workers, for the given session ID
getLatestUpdateAllWorkers(String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getLatestUpdateAllWorkers(String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getLayer(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the layer by the number of that layer, in range 0 to getNumLayers()-1 NOTE: This is different from the internal GraphVertex index for the layer
getLayer(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get a given layer by name.
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getLayer() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the Layer (if any).
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
getLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
getLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Gets corresponding DL4J Layer, if any.
getLayer(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLayer(String) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLayerActivationTypes(InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
getLayerActivationTypes(boolean, InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
For the given input shape/type for the network, return a map of activation sizes for each layer and vertex in the graph.
getLayerActivationTypes() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
For the (perhaps partially constructed) network configuration, return a map of activation sizes for each layer and vertex in the graph.
Note 1: The network configuration may be incomplete, but the inputs have been added to the layer already.
Note 2: To use this method, the network input types must have been set using ComputationGraphConfiguration.GraphBuilder.setInputTypes(InputType...) first
getLayerActivationTypes(InputType) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
For the given input shape/type for the network, return a list of activation sizes for each layer in the network.
i.e., list.get(i) is the output activation sizes for layer i
getLayerActivationTypes() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
For the (perhaps partially constructed) network configuration, return a list of activation sizes for each layer in the network.
Note: To use this method, the network input type must have been set using NeuralNetConfiguration.ListBuilder.setInputType(InputType) first
getLayerName() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get Keras layer name.
getLayerName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
getLayerName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
getLayerNameFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get layer name from Keras layer configuration.
getLayerNames() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLayerNames() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getLayerParams() - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getLayers() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get all layers in the ComputationGraph
getLayers() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLayerSize() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
This method returns word vector size
getLayerwise() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
getLayerWiseConfigurations() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getLearningRate() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
getLearningRates() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the learning rates by parameter
getLearningRates() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getLearningRates() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getLeaves() - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
 
getLeaves() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Gets the leaves of the tree.
getLeaves(List<T>) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Gets the leaves of the tree.
getLeft() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Returns this node's left node
getLeft() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
getLeftId(int) - Method in interface com.atilika.kuromoji.dict.Dictionary
Gets the left id of the specified word
getLeftId() - Method in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
getLeftId(int) - Method in class com.atilika.kuromoji.dict.InsertedDictionary
 
getLeftId(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
getLeftId(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getLeftId(int) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
getLeftId() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getLeftNode() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getLegacyJsonMapper() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
getLegacyJsonMapper() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
getLegacyJsonMapper() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
getLegacyJsonMapper() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
getLegacyNamesMap() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
getLegacyNamesMap() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
getLegacyNamesMap() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
getLegacyNamesMap() - Method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
getListeners() - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get a list (shallow copy) of all listeners currently present
getListeners() - Method in interface org.deeplearning4j.nn.api.Layer
Get the iteration listeners for this layer.
getListeners() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the trainingListeners for the ComputationGraph
getListeners() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getListeners() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
getListeners() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getListeners() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getListeners() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getListeners() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getListeners() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
getListeners() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getListeners() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getLocalResponseNormalization() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasLRN
Get DL4J LRN.
getLog(Class<?>) - Static method in class org.ansj.util.MyStaticValue
 
getLog() - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getLog() - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getLongHash(String) - Static method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
getLossFn() - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
getLossLayer(InputType) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.KerasLoss
Get DL4J LossLayer.
getLower(INDArray, int) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
getLower() - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
getLr() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Deprecated.
getLr() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getLSTMLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Get DL4J Layer.
getMachineID() - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
getMachineID() - Method in interface org.deeplearning4j.spark.stats.EventStats
 
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
MNIST DB files start with unique integer number.
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
 
getMagicNumber() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
 
getMapper() - Static method in class org.deeplearning4j.nn.conf.serde.JsonMappers
 
getMapperYaml() - Static method in class org.deeplearning4j.nn.conf.serde.JsonMappers
 
getMask() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getMaskArray() - Method in interface org.deeplearning4j.nn.api.Layer
 
getMaskArray() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getMaskArray() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getMaskArray() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getMaskArray() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getMaskArray() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getMatchLength() - Method in class com.atilika.kuromoji.dict.UserDictionary.UserDictionaryMatch
 
getMatchStartIndex() - Method in class com.atilika.kuromoji.dict.UserDictionary.UserDictionaryMatch
 
getMAX_EXP() - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getMaxCount() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
getMaxCount() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getMaxIterations() - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
getMean() - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
getMean() - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
getMean() - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
getMean(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the mean values for each parameter for the given StatsType (Parameters/Updates/Activations)
getMean(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getMean(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getMeanMagnitudes(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the mean magnitude values for each parameter for the given StatsType (Parameters/Updates/Activations)
getMeanMagnitudes(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getMeanMagnitudes(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getMedian() - Method in class org.deeplearning4j.text.movingwindow.Window
 
getMemoryBytes(MemoryType, int, MemoryUseMode, CacheMode, DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
getMemoryBytes(MemoryType, int, MemoryUseMode, CacheMode) - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
Get the memory estimate (in bytes) for the specified type of memory, using the current ND4J data type
getMemoryBytes(MemoryType, int, MemoryUseMode, CacheMode, DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
Get the memory estimate (in bytes) for the specified type of memory
getMemoryBytes(MemoryType, int, MemoryUseMode, CacheMode, DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
getMemoryFootprint() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences
This method returns estimated memory footrpint, based on current CountMap content
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Get a MemoryReport for the given computation graph configuration.
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
This is a report of the estimated memory consumption for the given vertex
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
getMemoryReport(InputType...) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Layer
This is a report of the estimated memory consumption for the given layer
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
This is a report of the estimated memory consumption for the given layer
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
getMemoryReport(InputType) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
Get a MemoryReport for the given MultiLayerConfiguration.
getMemoryReport(AbstractLSTM, InputType) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
 
getMemoryReport(GravesBidirectionalLSTM, InputType) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
 
getMemoryReport(boolean, FeedForwardLayer, InputType) - Static method in class org.deeplearning4j.nn.layers.recurrent.LSTMHelpers
 
getMemoryThreshold() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences
This memory returns memory threshold, defined as 1/2 of memory allowed for allocation
getMessage(String) - Method in interface org.deeplearning4j.ui.api.I18N
Get the specified message in the default language (according to I18N.getDefaultLanguage()
getMessage(String, String) - Method in interface org.deeplearning4j.ui.api.I18N
Get the specified message for the specified language
getMessage(String) - Method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
getMessage(String, String) - Method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
getMinAlpha() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getMinAlpha() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getMinibatchesPerSecond() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the number of minibatches per second, since the last report
getModel() - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
 
getModel() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
getModel() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
THe current model for the trainer
getModelClassName() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getModelConfigClassName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getModelConfigClassName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getModelConfigJson() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getModelConfigJson(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getModelConfigJson(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getModelNumLayers() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getModelNumParams() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getModelParamNames() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getModelParamNames(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
getModelParamNames(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
getModelType(Model) - Static method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
 
getModuleName() - Method in interface org.deeplearning4j.nn.conf.module.GraphBuilderModule
A module should return its name.
getModuleName() - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
getModuleName(String) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
getMostPopulatedClusters(int) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
getMostRecentClusterSetInfo() - Method in class org.deeplearning4j.clustering.iteration.IterationHistory
 
getMostRecentIterationInfo() - Method in class org.deeplearning4j.clustering.iteration.IterationHistory
 
getMostSpreadOutClusters(ClusterSet, ClusterSetInfo, int) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
getMultiLayerConfiguration() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel
Configure a MultiLayerConfiguration from this Keras Sequential model configuration.
getMultiLayerNetwork() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel
Build a MultiLayerNetwork from this Keras Sequential model configuration.
getMultiLayerNetwork(boolean) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel
Build a MultiLayerNetwork from this Keras Sequential model configuration and import weights.
getName() - Method in class org.ansj.app.crf.pojo.Element
 
getName() - Method in class org.ansj.app.keyword.Keyword
 
getName() - Method in class org.ansj.domain.NewWord
 
getName() - Method in class org.ansj.domain.Term
 
getName() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getName() - Method in class org.deeplearning4j.base.MnistFetcher
 
getName() - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
getName() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
Name of the object that the memory report was generated for
getName() - Method in class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
getNameIfOutArr(List<Element>, int) - Method in class org.ansj.app.crf.Config
 
getNameLabel(String) - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getNature() - Method in class org.ansj.domain.NewWord
 
getNature(String) - Static method in class org.ansj.library.NatureLibrary
根据字符串得道词性.没有就创建一个
getNatureClassSuffix() - Static method in class org.ansj.util.MyStaticValue
得道姓名单字的词频词典
getNatureMapReader() - Static method in class org.ansj.util.MyStaticValue
词性表
getNatureStr() - Method in class org.ansj.domain.Term
 
getNatureTableReader() - Static method in class org.ansj.util.MyStaticValue
词性关联表
getNegative() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getNegative() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getNegative() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getNegative() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getNestedTrainingStats() - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
getNestedTrainingStats() - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Return the nested training stats - if any.
getNestedTrainingStats() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
getNestedTrainingStats() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
getNetwork() - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
getNetwork() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
getNewDestination(String, boolean) - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getNewInitializationReport() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getNewInitializationReport() - Method in class org.deeplearning4j.ui.stats.J7StatsListener
 
getNewInitializationReport() - Method in class org.deeplearning4j.ui.stats.StatsListener
 
getNewMapper(JsonFactory) - Static method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
getNewStatsReport() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getNewStatsReport() - Method in class org.deeplearning4j.ui.stats.J7StatsListener
 
getNewStatsReport() - Method in class org.deeplearning4j.ui.stats.StatsListener
 
getNewStorageMetaData(long, String, String) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getNewStorageMetaData(long, String, String) - Method in class org.deeplearning4j.ui.stats.J7StatsListener
 
getNewStorageMetaData(long, String, String) - Method in class org.deeplearning4j.ui.stats.StatsListener
 
getNewTerms() - Method in class org.ansj.recognition.arrimpl.AsianPersonRecognition
 
getNewTerms() - Method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
getNewWordReader() - Static method in class org.ansj.util.MyStaticValue
机构名词典
getNewWords(Term[]) - Method in class org.ansj.recognition.arrimpl.AsianPersonRecognition
 
getNewWords(Term[]) - Method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
getNextRandom() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getNextRandom() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getnLayers() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Get the number of layers in the network
getNorthEast() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getNorthWest() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getNOut() - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
getNOutFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get number of outputs from Keras layer configuration.
getNum(String) - Static method in class org.ansj.app.crf.Config
 
getNumberOfLabelsUsed() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
This method returns number of labels used up to the method's call
getNumberOfSequences() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
This method returns total number of sequences passed through VocabConstructor
getNumberOfTrials() - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
getNumberReader() - Static method in class org.ansj.util.MyStaticValue
数字词典
getNumChildren() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
getNumClasses() - Method in class org.deeplearning4j.eval.ROCMultiClass
 
getNumDataSetObjectsPerSplit(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getNumDataSetObjectsPerSplit(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getNumDataSets() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
getNumDimensions() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getNumExamplesTotal() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getNumExamplesToTrainOn() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getNumInputArrays() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
The number of inputs to this network
getNumInputArrays() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
getNumInputArrays() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getNumInputArrays() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the number of input arrays.
getNumLayers() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Returns the number of layers in the ComputationGraph
getNumOutputArrays() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
The number of output (arrays) for this network
getNumOutputConnections() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
getNumOutputConnections() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getNumOutputConnections() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the number of outgoing connections from this GraphVertex.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Returns number of trainable parameters in layer.
getNumParams() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Returns number of trainable parameters in layer.
getNumRowCounter() - Method in class org.deeplearning4j.eval.Evaluation
 
getNumTables() - Method in interface org.deeplearning4j.clustering.lsh.LSH
denoting numTables by n, amplifies a (d1, d2, p1, p2) hash family into a (d1, d2, (1-p1^n), (1-p2^n))-sensitive one (match probability is increasing with n)
getNumTestExamples() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getNumUpdateRecordsFor(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Return the number of update records for the given session ID (all workers)
getNumUpdateRecordsFor(String, String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Return the number of update records for the given session ID and worker ID
getNumUpdateRecordsFor(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getNumUpdateRecordsFor(String, String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getNumUpdateRecordsFor(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getNumUpdateRecordsFor(String, String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getNumVertices() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
Returns the number of vertices in the graph
getNumVertices() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
getNumWords() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getNumWords() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getNumWords() - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
getObjectFromFile(File, String) - Static method in class org.deeplearning4j.util.ModelSerializer
Get an object with the specified key from the model file, that was previously added to the file using ModelSerializer.addObjectToFile(File, String, Object)
getOffe() - Method in class org.ansj.domain.Term
 
getOffe() - Method in interface org.ansj.splitWord.GetWords
 
getOffe() - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
getOffHeapCurrentBytes() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get off-heap memory - current bytes used
getOffHeapMaxBytes() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get off-heap memory - max available bytes
getOp(String, INDArray, INDArray, INDArray) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
 
getOptimalBufferSize(int, int, int) - Static method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method returns optimal bufferSize for a given model We know, that updates are guaranteed to have MAX size of params / 16.
getOptimalBufferSize(Model, int, int) - Static method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
getOptimizer() - Method in interface org.deeplearning4j.nn.api.Model
Returns this models optimizer
getOptimizer() - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method returns Optimizer used for training
getOptimizer() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
getOptimizer() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getOptimizer() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
getOptimizer() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getOptimizer() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getOptimizer() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getOptimizer() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getOptimizer() - Method in class org.deeplearning4j.optimize.Solver
 
getOptimizer() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getOrderedLayers() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
getOrderedLayers() - Method in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
getOrderedLayers() - Method in class org.deeplearning4j.nn.updater.LayerUpdater
 
getOrderedLayers() - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
getOutput() - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
getOutput() - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
getOutput() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
getOutputLayer(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the specified output layer, by index.
getOutputLayer() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Get the output layer
getOutputLayerIndices() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
getOutputs() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
PLEASE NOTE: This method is for tests only
getOutputSize(INDArray, int[], int[], int[], ConvolutionMode) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
getOutputSize(INDArray, int[], int[], int[], ConvolutionMode, int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get the output size (height/width) for the given input data and CNN configuration
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
Determine the type of output for this GraphVertex, given the specified inputs.
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
getOutputType(int, InputType...) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
getOutputType(InputType) - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor
For a given type of input to this preprocessor, what is the type of the output?
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Layer
For a given type of input to this layer, what is the type of the output?
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
getOutputType(int, InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.BinomialSamplingPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanAndUnitVariancePreProcessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanPrePreProcessor
 
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations.KerasLeakyReLU
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution1D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution3D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping1D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping3D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDeconvolution2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSpaceToDepth
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling1D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling3D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding1D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding3D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasActivation
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDropout
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasFlatten
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasMerge
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasPermute
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasSpatialDropout
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasLRN
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasPoolHelper
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.KerasLoss
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasAlphaDropout
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianDropout
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianNoise
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasGlobalPooling
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling1D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling2D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling3D
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Get layer output type.
getOutputType(InputType...) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Get layer output type.
getOutputType(InputType) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.KerasFlattenRnnPreprocessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.PermutePreprocessor
 
getOutputType(InputType) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
getOutputTypeCnn3DLayers(InputType, int[], int[], int[], int[], ConvolutionMode, int, int, String, Class<?>) - Static method in class org.deeplearning4j.nn.conf.layers.InputTypeUtil
 
getOutputTypeCnnLayers(InputType, int[], int[], int[], int[], ConvolutionMode, int, int, String, Class<?>) - Static method in class org.deeplearning4j.nn.conf.layers.InputTypeUtil
 
getOutputTypeDeconvLayer(InputType, int[], int[], int[], int[], ConvolutionMode, int, int, String, Class<?>) - Static method in class org.deeplearning4j.nn.conf.layers.InputTypeUtil
 
getOutputVertices() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the Xth output of this vertex is connected to the Zth input of vertex Y
getOutputVertices() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getOutputVertices() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the Xth output of this vertex is connected to the Zth input of vertex Y
getOutWeights() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
getPaddingFromBorderModeConfig(Map<String, Object>, int, KerasLayerConfiguration, int) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils
Get (convolution) padding from Keras layer configuration.
getPairIterator() - Method in class org.deeplearning4j.models.glove.count.CountMap
 
getParam(String) - Method in interface org.deeplearning4j.nn.api.Model
Get the parameter
getParam(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getParam(String) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
getParam(String) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getParam(String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getParam() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
getParameter(Layer, String, int, int, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.weightnoise.DropConnect
 
getParameter(Layer, String, int, int, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.conf.weightnoise.IWeightNoise
Get the parameter, after applying weight noise
getParameter(Layer, String, int, int, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
getParameterKeys() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
getParameters() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getParamMagnitudes() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getParamName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
getParamName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
getParams(String) - Method in class org.ansj.recognition.impl.NatureRecognition
获取一个词语的参数
getParams(Forest, String) - Static method in class org.ansj.recognition.impl.UserDicNatureRecognition
 
getParams() - Method in interface org.deeplearning4j.nn.api.layers.LayerConstraint
 
getParams() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
getParams() - Method in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
getParams() - Method in class org.deeplearning4j.nn.updater.LayerUpdater
 
getParams() - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
getParamShapes() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
Get the parameter shapes for all parameters
getParamWithNoise(String, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
Get the parameter, after applying any weight noise (such as DropConnect) if necessary.
getParamWithNoise(String, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
getParent() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
getParent() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getParser() - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
 
getPartition(Object) - Method in class org.deeplearning4j.spark.data.shuffle.IntPartitioner
Deprecated.
 
getPartition(Object) - Method in class org.deeplearning4j.spark.impl.common.repartition.BalancedPartitioner
 
getPartition(Object) - Method in class org.deeplearning4j.spark.impl.common.repartition.HashingBalancedPartitioner
 
getPartOfSpeechLevel1() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getPartOfSpeechLevel1() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the 1st level part-of-speech tag for this token (品詞細分類1)
getPartOfSpeechLevel2() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getPartOfSpeechLevel2() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the 2nd level part-of-speech tag for this token (品詞細分類2)
getPartOfSpeechLevel3() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getPartOfSpeechLevel3() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the 3rd level part-of-speech tag for this token (品詞細分類3)
getPartOfSpeechLevel4() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getPartOfSpeechLevel4() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the 4th level part-of-speech tag for this token (品詞細分類4)
getPassphrase() - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
getPassword() - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
getPath() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getPathCost() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getPathInnerNodes(int) - Method in interface org.deeplearning4j.graph.models.BinaryTree
 
getPathInnerNodes(int) - Method in class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
 
getPathInnerNodes(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.huffman.BinaryTree
 
getPathInnerNodes(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
getPathLabel(String) - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getPerplexity() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getPersonFreqMap() - Static method in class org.ansj.util.MyStaticValue
名字词性对象反序列化
getPersonFreqReader() - Static method in class org.ansj.util.MyStaticValue
根据词语后缀判断词性
getPersonMap() - Method in class org.ansj.library.name.PersonAttrLibrary
 
getPersonReader() - Static method in class org.ansj.util.MyStaticValue
人名词典
getPnorm() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getPoint(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Return the point with the given id
getPoint() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
getPointAtPrecision(double) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
Get the point (index, threshold, precision, recall) at the given precision.
Specifically, return the points at the lowest threshold that has precision equal to or greater than the requested precision.
getPointAtRecall(double) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
Get the point (index, threshold, precision, recall) at the given recall.
Specifically, return the points at the highest threshold that has recall equal to or greater than the requested recall.
getPointAtThreshold(double) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
Get the point (index, threshold, precision, recall) at the given threshold.
Note that if the threshold is not found exactly, the next highest threshold exceeding the requested threshold is returned
getPointDistanceFromClusterVariance() - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getPointLocationChange() - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getPoints() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Returns Huffman tree points
getPointsCount() - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
getPointsFartherFromCenterThan(double) - Method in class org.deeplearning4j.clustering.info.ClusterInfo
 
getPort() - Method in class org.deeplearning4j.ui.api.UIServer
Get the current port for the UI
getPort() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
getPosFeatures() - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry
 
getPosition() - Method in class com.atilika.kuromoji.TokenBase
Gets the position/start index where this token is found in the input text
getPrecision(int) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
getPrecisionRecallCurve() - Method in class org.deeplearning4j.eval.ROC
Get the precision recall curve as array.
getPrecisionRecallCurve(int) - Method in class org.deeplearning4j.eval.ROCBinary
Get the Precision-Recall curve for the specified output
getPrecisionRecallCurve(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
Get the (one vs.
getPredictedClass() - Method in class org.deeplearning4j.nn.layers.objdetect.DetectedObject
Get the index of the predicted class (based on maximum predicted probability)
getPredictedObjects(INDArray, double) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
getPredictedObjects(INDArray, INDArray, double, double) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Given the network output and a detection threshold (in range 0 to 1) determine the objects detected by the network.
Supports minibatches - the returned DetectedObject instances have an example number index.
Note that the dimensions are grid cell units - for example, with 416x416 input, 32x downsampling by the network (before getting to the Yolo2OutputLayer) we have 13x13 grid cells (each corresponding to 32 pixels in the input image).
getPredictedTotal(T) - Method in class org.deeplearning4j.eval.ConfusionMatrix
Computes the total number of times the class was predicted by the classifier.
getPredictionByPredictedClass(int) - Method in class org.deeplearning4j.eval.Evaluation
Get a list of predictions, for all data with the specified predicted class, regardless of the actual data class.
getPredictionCountsEachClass() - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
getPredictionErrors() - Method in class org.deeplearning4j.eval.Evaluation
Get a list of prediction errors, on a per-record basis
getPredictions(int, int) - Method in class org.deeplearning4j.eval.Evaluation
Get a list of predictions in the specified confusion matrix entry (i.e., for the given actua/predicted class pair)
getPredictionsByActualClass(int) - Method in class org.deeplearning4j.eval.Evaluation
Get a list of predictions, for all data with the specified actual class, regardless of the predicted class.
getPreProcessor() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Returns preprocessors, if defined
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Returns preprocessors, if defined
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
getPreProcessor() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
getPreProcessor() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
getPreProcessor() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Layer
For the given type of input to this layer, what preprocessor (if any) is required?
Returns null if no preprocessor is required, otherwise returns an appropriate InputPreProcessor for this layer, such as a CnnToFeedForwardPreProcessor
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
getPreProcessorForInputType(InputType) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
getPreProcessorForInputTypeCnn3DLayers(InputType, String) - Static method in class org.deeplearning4j.nn.conf.layers.InputTypeUtil
Utility method for determining the appropriate preprocessor for CNN layers, such as ConvolutionLayer and SubsamplingLayer
getPreProcessorForInputTypeCnnLayers(InputType, String) - Static method in class org.deeplearning4j.nn.conf.layers.InputTypeUtil
Utility method for determining the appropriate preprocessor for CNN layers, such as ConvolutionLayer and SubsamplingLayer
getPreprocessorForInputTypeRnnLayers(InputType, String) - Static method in class org.deeplearning4j.nn.conf.layers.InputTypeUtil
 
getProbabilityHistogram(int) - Method in class org.deeplearning4j.eval.EvaluationCalibration
Return a probability histogram of the specified label class index.
getProbabilityHistogramAllClasses() - Method in class org.deeplearning4j.eval.EvaluationCalibration
Return a probability histogram for all predictions/classes.
getProbabilityMatrix(INDArray, int, int) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
Get the probability matrix (probability of the specified class, assuming an object is present, for all x/y positions), from the network output activations array
getProbabilityOfSuccess() - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
getProbAndLabelUsed() - Method in class org.deeplearning4j.eval.ROC
 
getPronunciation() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getPronunciation() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the pronunciation for this token (発音)
getRandomConnectedVertex(int, Random) - Method in interface org.deeplearning4j.graph.api.IGraph
Randomly sample a vertex connected to a given vertex.
getRandomConnectedVertex(int, Random) - Method in class org.deeplearning4j.graph.graph.Graph
 
getRandomConnectedVertex(int, Random) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getRandomConnectedVertex(int, Random) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Randomly sample a vertex connected to a given vertex.
getReader(String) - Static method in class org.ansj.dic.DicReader
 
getReading() - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
getReading() - Method in class com.atilika.kuromoji.ipadic.Token
Gets the reading for this token (読み) in katakana script
getRealName() - Method in class org.ansj.domain.Term
 
getRecall(int) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
getRecordMetaData(Class<T>) - Method in class org.deeplearning4j.eval.meta.Prediction
Convenience method for getting the record meta data as a particular class (as an alternative to casting it manually).
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
getRecordReader(long, int[], DataSetType, ImageTransform) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
getRecordReader(long, DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
getRecurrentDropout(KerasLayerConfiguration, Map<String, Object>) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasRnnUtils
Get recurrent weight dropout from Keras layer configuration.
getReliabilityDiagram(int) - Method in class org.deeplearning4j.eval.EvaluationCalibration
Get the reliability diagram for the specified class
getReportClass() - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
getReportClass() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
getReportClass() - Method in class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
getResidualPlot(int) - Method in class org.deeplearning4j.eval.EvaluationCalibration
Get the residual plot, only for examples of the specified class..
getResidualPlotAllClasses() - Method in class org.deeplearning4j.eval.EvaluationCalibration
Get the residual plot for all classes combined.
getResource() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
getResult(Graph) - Method in class org.ansj.splitWord.analysis.BaseAnalysis
 
getResult(Graph) - Method in class org.ansj.splitWord.analysis.DicAnalysis
 
getResult(Graph) - Method in class org.ansj.splitWord.Analysis
 
getResult(Graph) - Method in class org.ansj.splitWord.analysis.IndexAnalysis
 
getResult(Graph) - Method in class org.ansj.splitWord.analysis.NlpAnalysis
 
getResult(Graph) - Method in class org.ansj.splitWord.analysis.ToAnalysis
 
getResult(Analysis.Merger) - Method in class org.ansj.util.Graph
构建最优路径
getReverseSortedPointDistancesFromCenter() - Method in class org.deeplearning4j.clustering.info.ClusterInfo
 
getRight() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Returns this node's right node
getRight() - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
getRightId(int) - Method in interface com.atilika.kuromoji.dict.Dictionary
Gets the right id of the specified word
getRightId() - Method in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
getRightId(int) - Method in class com.atilika.kuromoji.dict.InsertedDictionary
 
getRightId(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
getRightId(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getRightId(int) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
getRightId() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getROCBinary() - Method in class org.deeplearning4j.eval.EvaluationBinary
Returns the ROCBinary instance, if present
getRocCurve() - Method in class org.deeplearning4j.eval.ROC
Get the ROC curve, as a set of (threshold, falsePositive, truePositive) points
getRocCurve(int) - Method in class org.deeplearning4j.eval.ROCBinary
Get the ROC curve for the specified output
getRocCurve(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
Get the (one vs.
getRoot() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Should only be used by PatriciaTrieFormatter
getRoot() - Method in class com.atilika.kuromoji.trie.Trie
Returns this trie's root node
getRootPath() - Static method in class com.atilika.kuromoji.util.KuromojiBinFilesFetcher
 
getRouter() - Method in interface org.deeplearning4j.api.storage.StatsStorageRouterProvider
 
getRouter() - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouterProvider
 
getRouterProvider() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getRoutes() - Method in interface org.deeplearning4j.ui.api.UIModule
Get a list of Route objects, that specify GET/SET etc methods, and how these should be handled.
getRoutes() - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
getRoutes() - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
getRoutes() - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
getRoutes() - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
getRoutes() - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
getRows() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Number of rows per image.
gets(String...) - Static method in class org.ansj.library.DicLibrary
根据keys获取词典集合
gets(Collection<String>) - Static method in class org.ansj.library.DicLibrary
根据keys获取词典集合
getSameModeBottomRightPadding(int[], int[], int[], int[], int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get bottom and right padding for same mode only.
getSameModeTopLeftPadding(int[], int[], int[], int[], int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Get top and left padding for same mode only.
getScore() - Method in class org.ansj.app.keyword.Keyword
 
getScore() - Method in class org.ansj.domain.NewWord
 
getScore() - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
getScore() - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
getScore() - Method in class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
getScore() - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Gets the last (average) minibatch score from calling fit.
getScore() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Gets the last (average) minibatch score from calling fit.
getScore() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the score at the current iteration
getScore() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getScoreCalculator() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration
 
getScores() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getScoreVsIter() - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
 
getSecondPart() - Method in class org.deeplearning4j.ui.UiConnectionInfo
 
getSecondPart(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo
 
getSentence() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
GetSentenceCountFunction - Class in org.deeplearning4j.spark.text.functions
 
GetSentenceCountFunction() - Constructor for class org.deeplearning4j.spark.text.functions.GetSentenceCountFunction
 
getSentenceCountRDD() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getSentenceWordsCountRDD() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getSeparableConvolution2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D
Get DL4J SeparableConvolution2D.
getSequenceLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Returns label for this sequence
getSequenceLabels() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Returns all labels for this sequence
getSequencesCount() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method returns number of documents/sequences where this element was evidenced
getSequencesScore() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
getSessionID() - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
getSessionID() - Method in interface org.deeplearning4j.api.storage.Persistable
Get the session id
getSessionID() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Session ID for the metadata
getSessionID() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getSessionID() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
getSessionID() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getSessionID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSessionID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getSessionID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getSessionID() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
getShallowVocabCache() - Method in class org.deeplearning4j.spark.models.paragraphvectors.SparkParagraphVectors
 
getShallowVocabCache() - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
getShallowVocabCache() - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec
 
getShape(boolean) - Method in class org.deeplearning4j.nn.conf.inputs.InputType
Returns the shape of this InputType
getShape() - Method in class org.deeplearning4j.nn.conf.inputs.InputType
Returns the shape of this InputType without minibatch dimension in the returned array
getShape(boolean) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
getShape(boolean) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
getShape(boolean) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
getShape(boolean) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
getShape(boolean) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
getShape(INDArray) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
getShortNameForKey(String) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
getShortNameForKey(String) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Return a short (display) name for the given key.
getShortNameForKey(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
getShortNameForKey(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
getSimiarlityFunction() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getSimpleRnnLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Get DL4J SimpleRnn layer.
getSize() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getSize() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
getSize() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
getSize() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
getSortedPointDistancesFromCenter() - Method in class org.deeplearning4j.clustering.info.ClusterInfo
 
getSourceGraph() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
 
getSouthEast() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getSouthWest() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
getSpaceToDepthLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSpaceToDepth
Get DL4J SpaceToDepth layer.
getSparkContext() - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
getSparkContext() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
getSparkTrainingStats() - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
getSparkTrainingStats() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Get the training statistics, after collection of stats has been enabled using SparkDl4jMultiLayer.setCollectTrainingStats(boolean)
getSpatialDropoutLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasSpatialDropout
Get DL4J DropoutLayer with spatial dropout.
getSplit(VocabCache<VocabWord>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.VocabHolder
 
getSplitRDDs(JavaPairRDD<T, Repr>, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getSplitRDDs(JavaRDD<T>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getSplitRDDs(JavaRDD<T>, int, int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getStart() - Method in class org.ansj.util.AnsjReader
 
getStartIndex() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getStartIndexArr() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
getStartSizeArr() - Method in class com.atilika.kuromoji.viterbi.ViterbiLattice
 
getStartTime() - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
getStartTime() - Method in interface org.deeplearning4j.spark.stats.EventStats
 
getStateViewArray() - Method in interface org.deeplearning4j.nn.api.Updater
 
getStateViewArray() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
getStaticInfo(String, String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the static info for the given session and worker IDs, or null if no such static info has been reported
getStaticInfo() - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
getStaticInfo(String, String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getStaticInfo(String, String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getStatsCollectionDurationMs() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the number of millisecons required to calculate al of the stats.
getStatsStorageInstances() - Method in class org.deeplearning4j.ui.api.UIServer
 
getStatsStorageInstances() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
getStd() - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
getStd() - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
getStd() - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
getStdev(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the standard deviation values for each parameter for the given StatsType (Parameters/Updates/Activations)
getStdev(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
getStdev(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getStepFunction() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
This method returns StepFunction defined within this Optimizer instance
getStepMax() - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
getStopWords() - Static method in class org.deeplearning4j.text.stopwords.StopWords
 
getStorageId() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
getStorageMetaData(String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the session metadata, if any has been registered via StatsStorageRouter.putStorageMetaData(StorageMetaData)
getStorageMetaData() - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
getStorageMetaData(String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getStorageMetaData(String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getStorageRouter() - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
getStorageRouter() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getStrideFromConfig(Map<String, Object>, int, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils
Get (convolution) stride from Keras layer configuration.
getStringHeader(String) - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
getStringHeader(String) - Method in interface org.deeplearning4j.spark.stats.EventStats
Get a header line for exporting the EventStats object, for use with EventStats.asString(String)
getStringHeader(String) - Method in class org.deeplearning4j.spark.stats.ExampleCountEventStats
 
getStringHeader(String) - Method in class org.deeplearning4j.spark.stats.PartitionCountEventStats
 
getSubsampling1DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling1D
Get DL4J Subsampling1DLayer.
getSubsampling2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling2D
Get DL4J SubsamplingLayer.
getSubsampling3DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling3D
Get DL4J Subsampling3DLayer.
getSubTerm() - Method in class org.ansj.domain.Term
 
getSubTerm(Term, Term) - Static method in class org.ansj.util.TermUtil
从from到to生成subterm
getSummary() - Method in class org.ansj.app.summary.pojo.Summary
 
getSurface() - Method in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
getSurface() - Method in class com.atilika.kuromoji.TokenBase
Gets the surface form of this token (表層形)
getSurface() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getSurfaces() - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
getSwArch() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwArch(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwArch(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwEnvironmentInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwHostName() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwHostName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwHostName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmName() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwJvmName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmSpecVersion() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwJvmSpecVersion(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmSpecVersion(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmUID() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwJvmUID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmUID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmVersion() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwJvmVersion(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwJvmVersion(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwNd4jBackendClass() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwNd4jBackendClass(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwNd4jBackendClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwNd4jDataTypeName() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwNd4jDataTypeName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwNd4jDataTypeName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwOsName() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
getSwOsName(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSwOsName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getSyn0() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getSyn0Vector(Integer, VocabCache<VocabWord>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.VocabHolder
 
getSyn1() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getSyn1Neg() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getSyn1Vector(Integer) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.VocabHolder
 
getSynonyms() - Method in class org.ansj.domain.Term
 
getSystemData() - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
getTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getTableId() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Returns unique ID of this table.
getTag() - Method in class org.ansj.app.crf.pojo.Element
 
getTagIfOutArr(List<Element>, int) - Method in class org.ansj.app.crf.Config
 
getTagName(int) - Static method in class org.ansj.app.crf.Config
 
getTailBuffer() - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
getTemplate() - Method in class org.ansj.app.crf.Config
 
getTermination() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
getTerminationCondition() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
getTermNatures(String) - Method in class org.ansj.recognition.impl.NatureRecognition
传入一次词语获得相关的词性
getTerms() - Method in class org.ansj.domain.Result
 
getTest() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getTestFileLabelsFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFileLabelsFilename() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFileLabelsMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFileLabelsMD5() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFileLabelsURL() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFileLabelsURL() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFilesFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFilesFilename() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFilesFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFilesFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFilesMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFilesMD5() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestFilesURL() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTestFilesURL() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTestIterator() - Method in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
This method returns test iterator instance
getTestIterator() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
This method returns test iterator instance
getTheta() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
getThreadID() - Method in class org.deeplearning4j.spark.stats.BaseEventStats
 
getThreadID() - Method in interface org.deeplearning4j.spark.stats.EventStats
 
getThreshold(int) - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
getThreshold(int) - Method in class org.deeplearning4j.eval.curves.RocCurve
 
getTimeDistributedLayerConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Extract inner layer config from TimeDistributed configuration and merge it into the outer config.
getTimeStamp() - Method in interface org.deeplearning4j.api.storage.Persistable
Get when this was created.
getTimeStamp() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Timestamp for the metadata
getTimeStamp() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
getTimeStamp() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getTimeStamp() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
getTitle() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
getTitle() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
getTitle() - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
getTitle() - Method in class org.deeplearning4j.eval.curves.ReliabilityDiagram
 
getTitle() - Method in class org.deeplearning4j.eval.curves.RocCurve
 
getTokenInfoDictionaryCompiler(String) - Method in class com.atilika.kuromoji.compile.DictionaryCompilerBase
 
getTokenInfoDictionaryCompiler(String) - Method in class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
 
getTokenizer() - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
 
getTokenizerFactory(VectorsConfiguration) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
 
getTokenizerVarMap() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerFactory.ChineseTokenizerFactory
 
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
Returns TokenPreProcessor set for this TokenizerFactory instance
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
 
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.KoreanTokenizerFactory
 
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
Returns TokenPreProcessor set for this TokenizerFactory instance
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
Returns TokenPreProcessor set for this TokenizerFactory instance
getTokenPreProcessor() - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory
Returns TokenPreProcessor set for this TokenizerFactory instance
getTokenPreProcessor() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
Returns TokenPreProcessor set for this TokenizerFactory instance
getTokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
getTokens() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
Returns all tokens as list of Strings
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
 
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
getTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
Returns a list of all the tokens
getTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
getTopLeftXY() - Method in class org.deeplearning4j.nn.layers.objdetect.DetectedObject
Get the top left X/Y coordinates of the detected object
getTopNCorrectCount() - Method in class org.deeplearning4j.eval.Evaluation
Return the number of correct predictions according to top N value.
getTopNTotalCount() - Method in class org.deeplearning4j.eval.Evaluation
Return the total number of top N evaluations.
getTopTree(int) - Method in class org.ansj.dic.LearnTool
返回学习到的新词.
getTopTree(int, Nature) - Method in class org.ansj.dic.LearnTool
 
getTotalDataSetObjectCount(JavaRDDLike<T, Repr>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getTotalDataSetObjectCount(JavaRDDLike<T, Repr>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getTotalExamples() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get total number of examples that have been processed since initialization
getTotalMemoryBytes(int, MemoryUseMode, CacheMode, DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
getTotalMemoryBytes(int, MemoryUseMode, CacheMode) - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
Get the total memory use in bytes for the given configuration (using the current ND4J data type)
getTotalMemoryBytes(int, MemoryUseMode, CacheMode, DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
Get the total memory use in bytes for the given configuration
getTotalMemoryBytes(int, MemoryUseMode, CacheMode, DataBuffer.Type) - Method in class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
getTotalMinibatches() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the total number of minibatches that have been processed since initialization
getTotalRuntimeMs() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Get the total runtime since listener/model initialization
getTotalWordCount() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getTotalWords() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getTotalWords() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getTrain() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
getTrainingDriver() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
 
getTrainingDriver() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
getTrainingDriver() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDBOW
 
getTrainingDriver() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDM
 
getTrainingDriver() - Method in interface org.deeplearning4j.spark.models.sequencevectors.learning.SparkElementsLearningAlgorithm
 
getTrainingFileLabelsFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFileLabelsFilename() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFileLabelsFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFileLabelsMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFileLabelsMD5() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFileLabelsURL() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFileLabelsURL() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFilesFilename() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFilesFilename() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFilesFilename_unzipped() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFilesFilename_unzipped() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFilesMD5() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFilesMD5() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingFilesURL() - Method in class org.deeplearning4j.base.EmnistFetcher
 
getTrainingFilesURL() - Method in class org.deeplearning4j.base.MnistFetcher
 
getTrainingListeners() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
getTrainingMaster() - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
getTrainingMaster() - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
getTrainingStats() - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Return the training statistics.
getTrainingStats() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getTrainingStats() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getTrainIterator() - Method in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
This method returns train iterator instance
getTrainIterator() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
This method returns train iterator instance
getTree() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
getTreebankTrees(String) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
Gets trees from text.
getTrees(String, SentencePreProcessor) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
Gets trees from text.
getTrees(String) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
Gets trees from text.
getTrees(String) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
Vectorizes the passed in sentences
getTreesWithLabels(String, String, List<String>) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
Gets trees from text.
getTreesWithLabels(String, List<String>) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeParser
Gets trees from text.
getTreesWithLabels(String, String, List<String>) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
Vectorizes the passed in sentences
getTreesWithLabels(String, List<String>) - Method in class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
Vectorizes the passed in sentences
getTruePositiveRate(int) - Method in class org.deeplearning4j.eval.curves.RocCurve
 
getTruncatedBptt() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
Returns value of truncated BPTT, if any found.
getTwoNatureFreq(Nature, Nature) - Static method in class org.ansj.library.NatureLibrary
获得两个词性之间的频率
getTwoTermFreq(Term, Term) - Static method in class org.ansj.library.NatureLibrary
获得两个term之间的频率
getTwoWordFreq(Term, Term) - Static method in class org.ansj.library.NgramLibrary
查找两个词与词之间的频率
getType() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getType() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
getType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType
 
getType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
getType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
getType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
getType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
getType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
getType() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
The type of node; mainly extra meta data
getTypeID() - Method in interface org.deeplearning4j.api.storage.Persistable
Get the type id
getTypeID() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Type ID for the metadata
getTypeID() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
getTypeID() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getTypeID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getTypeID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getTypeID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getTypeID() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
getUimaResource() - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
getUnderlying() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep
 
getUnderlyingRecurrentLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Return the underlying recurrent layer of this bidirectional layer
getUnflattenedType() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
getUNK() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
getUNK() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
getUNK() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
getUnroll() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Get whether LSTM layer should be unrolled (for truncated BPTT).
getUnroll() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Get whether SimpleRnn layer should be unrolled (for truncated BPTT).
getUnrollRecurrentLayer(KerasLayerConfiguration, Map<String, Object>) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasRnnUtils
Get unroll parameter to decide whether to unroll RNN with BPTT or not.
getUpdate(String, String, String, long) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the specified update (or null, if none exists for the given session/worker ids and timestamp)
getUpdate(String, String, String, long) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getUpdate(String, String, String, long) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getUpdateConfig() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getUpdateMagnitudes() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
getUpdateMap(String, String, String, boolean) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getUpdateMap(String, String, String, boolean) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
getUpdateMap(String, String, String, boolean) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
getUpdater() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the ComputationGraphUpdater for the network
getUpdater() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Get the updater for this MultiLayerNetwork
getUpdater(Model) - Static method in class org.deeplearning4j.nn.updater.UpdaterCreator
 
getUpdater() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
 
getUpdater() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer
Get the updater for the given parameter.
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Get the updater for the given parameter.
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
Get the updater for the given parameter.
getUpdaterByParam(String) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
getUpdates(String, String, String, long[]) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get updates for the specified times only
getUpdates() - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
getUpdates(String, String, String, long[]) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
getUpdates(String, String, String, long[]) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
getUpdatesBuffer() - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
This method is viable only at Spark Workers, Master node will always have empty buffer here by design
getUpdateTypeClass() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Full class name for the update information that will be posted.
getUpdateTypeClass(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getUpdateTypeClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getUpper(INDArray, int) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
getUpper() - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
getUpsampling1DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling1D
Get DL4J Upsampling1D layer.
getUpsampling2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling2D
Get DL4J Upsampling2D layer.
getUpsampling3DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling3D
Get DL4J Upsampling3D layer.
getUuid() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
 
getV() - Method in class org.ansj.domain.KV
 
getVaeLayer() - Method in class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
getVaeLayer() - Method in class org.deeplearning4j.spark.impl.graph.scoring.CGVaeReconstructionErrorWithKeyFunction
 
getVaeLayer() - Method in class org.deeplearning4j.spark.impl.graph.scoring.CGVaeReconstructionProbWithKeyFunction
 
getValue() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Returns this node's value
getValue() - Method in class org.deeplearning4j.graph.api.Vertex
 
getValue() - Method in class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
 
getValue(String) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
getValue(String) - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Get the statistic value for this key
getValue(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
getValue(String) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
getVec() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
getVector(int) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
Get the vector for the vertex with index idx
getVector(int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
getVectorLength() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getVectorLength() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getVectorLength() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getVectorSize() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
getVectorSize() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
getVectorSize() - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
getVertex(int) - Method in interface org.deeplearning4j.graph.api.IGraph
Get a vertex in the graph for a given index
getVertex(int) - Method in class org.deeplearning4j.graph.graph.Graph
 
getVertex(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getVertex(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Get a vertex in the graph for a given index
getVertex(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return a given GraphVertex by name, or null if no vertex with that name exists
getVertex() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Gets corresponding DL4J Vertex, if any.
getVertexDegree(int) - Method in interface org.deeplearning4j.graph.api.IGraph
Returns the degree of the vertex.
For undirected graphs, this is just the degree.
For directed graphs, this returns the outdegree
getVertexDegree(int) - Method in class org.deeplearning4j.graph.graph.Graph
 
getVertexDegree(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getVertexDegree(int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Returns the degree of the vertex.
For undirected graphs, this is just the degree.
For directed graphs, this returns the outdegree
getVertexEdgeNumber() - Method in class org.deeplearning4j.nn.graph.vertex.VertexIndices
The edge number.
getVertexIndex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
getVertexIndex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getVertexIndex() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the index of the GraphVertex
getVertexIndex() - Method in class org.deeplearning4j.nn.graph.vertex.VertexIndices
Index of the vertex
getVertexName() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
getVertexName() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
getVertexName() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Get the name/label of the GraphVertex
getVertexVector(Vertex<V>) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
getVertexVector(int) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
getVertexVector(Vertex<V>) - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
getVertexVector(int) - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
getVertexVectors() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
getVertices(int[]) - Method in interface org.deeplearning4j.graph.api.IGraph
Get multiple vertices in the graph
getVertices(int, int) - Method in interface org.deeplearning4j.graph.api.IGraph
Get multiple vertices in the graph, with secified indices
getVertices(int[]) - Method in class org.deeplearning4j.graph.graph.Graph
 
getVertices(int, int) - Method in class org.deeplearning4j.graph.graph.Graph
 
getVertices(int[]) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getVertices(int, int) - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
getVertices(int[]) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Get multiple vertices in the graph
getVertices(int, int) - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Get multiple vertices in the graph, with secified indices
getVertices() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Returns an array of all GraphVertex objects.
getVocab() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getVocabCache() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
The vocab sorted in descending order
getVocabCache() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getVocabCache() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Returns corresponding vocabulary
getVocabCache() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getVocabs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
getVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
getVocabularyWordByIdx(Integer) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
getVocabularyWordByString(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
getVocabWordListRDD() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getW1() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW1BiasHistory() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW1BiasUpdate() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW1History() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW1Update() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW2() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW2BiasHistory() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW2BiasUpdate() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW2History() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getW2Update() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
getWeightAdaGrad() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
getWeightInitFromConfig(Map<String, Object>, String, boolean, KerasLayerConfiguration, int) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUtils
Get weight initialization from Keras layer configuration.
getWeightParameterKeys() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
getWeightRegularizerFromConfig(Map<String, Object>, KerasLayerConfiguration, String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasRegularizerUtils
Get weight regularization from Keras weight regularization configuration.
getWeights() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
getWeights() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
 
getWeights() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
getWeights() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getWeights() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getWindow() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getWindow() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getWindowSize() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
getWindowSize() - Method in class org.deeplearning4j.text.movingwindow.Window
 
getWord() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
getWord(int) - Method in class org.deeplearning4j.text.movingwindow.Window
 
getWord() - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
getWord2vecVarMap() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
getWordCost(int) - Method in interface com.atilika.kuromoji.dict.Dictionary
Gets the word cost of the specified word
getWordCost() - Method in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
getWordCost(int) - Method in class com.atilika.kuromoji.dict.InsertedDictionary
 
getWordCost(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
getWordCost(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
getWordCost(int) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
getWordCost() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getWordCount() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getWordCount() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
getWordFreqAcc() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
getWordFrequencies() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
getWordId() - Method in class com.atilika.kuromoji.dict.UserDictionary.UserDictionaryMatch
 
getWordId() - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
getWordIdMap() - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
Deprecated.
GetWords - Interface in org.ansj.splitWord
 
getWords() - Method in class org.deeplearning4j.text.movingwindow.Window
 
GetWordsImpl - Class in org.ansj.splitWord.impl
 
GetWordsImpl(String) - Constructor for class org.ansj.splitWord.impl.GetWordsImpl
构造方法,同时加载词典,传入词语相当于同时调用了setStr() ;
GetWordsImpl() - Constructor for class org.ansj.splitWord.impl.GetWordsImpl
构造方法,同时加载词典
getWordsSeen() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
getWordsSeen() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
getWordVector(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Get the word vector for a given matrix
getWordVector(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Get the word vector for a given matrix
getWordVector(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Get the word vector for a given matrix
getWordVectorMatrix(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Get the word vector for a given matrix
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
getWordVectorMatrix(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Get the word vector for a given matrix
getWordVectorMatrixNormalized(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Returns the word vector divided by the norm2 of the array
getWordVectorMatrixNormalized(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Returns the word vector divided by the norm2 of the array
getWordVectorMatrixNormalized(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Returns the word vector divided by the norm2 of the array
getWordVectors(Collection<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
This method returns 2D array, where each row represents corresponding word/label
getWordVectors(Collection<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
This method returns 2D array, where each row represents corresponding label
getWordVectors(Collection<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
This method returns 2D array, where each row represents corresponding word/label
getWordVectorsMean(Collection<String>) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
This method returns mean vector, built from words/labels passed in
getWordVectorsMean(Collection<String>) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
This method returns mean vector, built from words/labels passed in
getWordVectorsMean(Collection<String>) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
This method returns mean vector, built from words/labels passed in
getWork() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
getWorkerCounter(int) - Method in class org.deeplearning4j.parallelism.ParallelInference
 
getWorkerID() - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
getWorkerID() - Method in interface org.deeplearning4j.api.storage.Persistable
Get the worker id
getWorkerID() - Method in interface org.deeplearning4j.api.storage.StorageMetaData
Worker ID for the metadata
getWorkerID() - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
getWorkerID() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
getWorkerID() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
getWorkerID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
getWorkerID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
getWorkerID(MutableDirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
getWorkerID() - Method in class org.deeplearning4j.ui.weights.ConvolutionListenerPersistable
 
getWorkerInstance(SparkDl4jMultiLayer) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the worker instance for this training master
getWorkerInstance(SparkComputationGraph) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the worker instance for this training master
getWorkerInstance(SparkDl4jMultiLayer) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getWorkerInstance(SparkComputationGraph) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
getWorkerInstance(SparkDl4jMultiLayer) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getWorkerInstance(SparkComputationGraph) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
getX() - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
getX() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
getX() - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
getX() - Method in class org.deeplearning4j.eval.curves.ReliabilityDiagram
 
getX() - Method in class org.deeplearning4j.eval.curves.RocCurve
 
getxMax() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
getxMax() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
getY() - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
getY() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
getY() - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
getY() - Method in class org.deeplearning4j.eval.curves.ReliabilityDiagram
 
getY() - Method in class org.deeplearning4j.eval.curves.RocCurve
 
getYamlMapper() - Static method in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
getZeroMaskingFromConfig(Map<String, Object>, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
Get zero masking flag
getZeroPadding1DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding1D
Get DL4J ZeroPadding1DLayer.
getZeroPadding2DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding2D
Get DL4J ZeroPadding2DLayer.
getZeroPadding3DLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding3D
Get DL4J ZeroPadding3DLayer.
GLOBAL_MEAN - Static variable in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
GLOBAL_VAR - Static variable in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
globalConfiguration - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
GlobalPoolingLayer - Class in org.deeplearning4j.nn.conf.layers
Global pooling layer - used to do pooling over time for RNNs, and 2d pooling for CNNs.
Supports the following PoolingTypes: SUM, AVG, MAX, PNORM
Global pooling layer can also handle mask arrays when dealing with variable length inputs.
GlobalPoolingLayer(PoolingType) - Constructor for class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
GlobalPoolingLayer - Class in org.deeplearning4j.nn.layers.pooling
Global pooling layer - used to do pooling over time for RNNs, and 2d pooling for CNNs.
Supports the following PoolingTypes: SUM, AVG, MAX, PNORM
Global pooling layer can also handle mask arrays when dealing with variable length inputs.
GlobalPoolingLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
GlobalPoolingLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
GloVe<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
GloVe LearningAlgorithm implementation for SequenceVectors
GloVe() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
Glove - Class in org.deeplearning4j.models.glove
GlobalVectors standalone implementation for DL4j.
Glove() - Constructor for class org.deeplearning4j.models.glove.Glove
 
Glove - Class in org.deeplearning4j.spark.models.embeddings.glove
Spark glove
Glove(String, boolean, int, int) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.Glove
 
Glove(boolean, int, int) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.Glove
 
GloVe.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
 
Glove.Builder - Class in org.deeplearning4j.models.glove
 
GloveChange - Class in org.deeplearning4j.spark.models.embeddings.glove
 
GloveChange(VocabWord, VocabWord, INDArray, INDArray, double, double, double, INDArray, INDArray, double, double) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
GloveParam - Class in org.deeplearning4j.spark.models.embeddings.glove
 
GloveParam(int, boolean, double, Random, double, double, double, Broadcast<CounterMap<String, String>>) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
GloveParam.Builder - Class in org.deeplearning4j.spark.models.embeddings.glove
 
GlovePerformer - Class in org.deeplearning4j.spark.models.embeddings.glove
Base line glove performer
GlovePerformer(GloveWeightLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
GloveWeightLookupTable<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
Deprecated.
GloveWeightLookupTable(VocabCache<T>, int, boolean, double, Random, double, double, double) - Constructor for class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
GloveWeightLookupTable.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.glove
Deprecated.
 
gMeasure(int) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the G-measure for the given output
gMeasure(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculates the average G measure for all outputs using micro or macro averaging
gMeasure(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Calculate the G-measure for the given output
gMeasure(double, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the G-measure from precision and recall
goldLabel() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
gr(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Tests if a is greater than b.
gradient() - Method in interface org.deeplearning4j.nn.api.Model
Get the gradient.
gradient(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
gradient(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
gradient(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
gradient(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
gradient(INDArray, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
gradient(INDArray, INDArray) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Calculate the gradient of the negative log probability with respect to the preOutDistributionParams
gradient(List<String>) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
gradient() - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
Gradient - Interface in org.deeplearning4j.nn.gradient
Generic gradient
gradient(List<String>) - Method in interface org.deeplearning4j.nn.gradient.Gradient
The full gradient as one flat vector
gradient() - Method in interface org.deeplearning4j.nn.gradient.Gradient
The full gradient as one flat vector
gradient - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
gradient() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
gradient() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
gradient - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
gradient() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
gradient() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Gets the gradient from one training iteration
gradient() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
gradient() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
gradient() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
gradient() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
gradient() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
gradient() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
gradient() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
gradient() - Method in class org.deeplearning4j.nn.layers.LossLayer
Gets the gradient from one training iteration
gradient() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
gradient() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
gradient() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
gradient() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
gradient() - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
gradient() - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
Gets the gradient from one training iteration
gradient - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
gradient() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
gradient() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
gradient - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
gradient() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
gradient - Variable in class org.deeplearning4j.optimize.listeners.SharedGradient
 
gradient(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
gradient() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
GRADIENT_KEY - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
gradientAndScore() - Method in interface org.deeplearning4j.nn.api.Model
Get the gradient and score
gradientAndScore() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
gradientAndScore() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
gradientAndScore() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
gradientAndScore(LayerWorkspaceMgr) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
The gradient and score for this optimizer
gradientAndScore(LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
gradientAndScore() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
gradientCheck - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
gradientCheck(boolean) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
gradientCheck - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
GradientCheckUtil - Class in org.deeplearning4j.gradientcheck
A utility for numerically checking gradients.
gradientForVariable() - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
gradientForVariable() - Method in interface org.deeplearning4j.nn.gradient.Gradient
Gradient look up table
GradientNormalization - Enum in org.deeplearning4j.nn.conf
Gradient normalization strategies.
gradientNormalization - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
gradientNormalization(GradientNormalization) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Gradient normalization strategy.
gradientNormalization - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
gradientNormalization - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
gradientNormalization(GradientNormalization) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Gradient normalization strategy.
gradientNormalization(GradientNormalization) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Gradient normalization strategy.
gradientNormalization - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
gradientNormalizationThreshold - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
gradientNormalizationThreshold(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Threshold for gradient normalization, only used for GradientNormalization.ClipL2PerLayer, GradientNormalization.ClipL2PerParamType, and GradientNormalization.ClipElementWiseAbsoluteValue
Not used otherwise.
L2 threshold for first two types of clipping, or absolute value threshold for last type of clipping.
gradientNormalizationThreshold - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
gradientNormalizationThreshold - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
gradientNormalizationThreshold(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Threshold for gradient normalization, only used for GradientNormalization.ClipL2PerLayer, GradientNormalization.ClipL2PerParamType, and GradientNormalization.ClipElementWiseAbsoluteValue
Not used otherwise.
L2 threshold for first two types of clipping, or absolute value threshold for last type of clipping.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
gradientNormalizationThreshold(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Threshold for gradient normalization, only used for GradientNormalization.ClipL2PerLayer, GradientNormalization.ClipL2PerParamType, and GradientNormalization.ClipElementWiseAbsoluteValue
Not used otherwise.
L2 threshold for first two types of clipping, or absolute value threshold for last type of clipping
gradientNormalizationThreshold - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
gradients - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
gradients - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
GradientsAccumulator - Interface in org.deeplearning4j.optimize.solvers.accumulation
 
gradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method allows you to specify GradientsAccumulator instance to be used in this ParallelWrapper instance PLEASE NOTE: This method is applicable only to gradients sharing mechanics.
gradientsAccumulator - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
gradientsFlattened - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
gradientsFlattened - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
GradientStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Normal gradient step function
GradientStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction
 
GradientStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Normal gradient step function
GradientStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.GradientStepFunction
 
gradientViews - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
gradientViews - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
Graph - Class in org.ansj.util
最短路径
Graph(String) - Constructor for class org.ansj.util.Graph
 
Graph<V,E> - Class in org.deeplearning4j.graph.graph
Graph, where all edges and vertices are stored in-memory.
Internally, this is a directed graph with adjacency list representation; however, if undirected edges are added, these edges are duplicated internally to allow for fast lookup.
Depending on the value of allowMultipleEdges, this graph implementation may or may not allow multiple edges between any two adjacent nodes.
Graph(int, VertexFactory<V>) - Constructor for class org.deeplearning4j.graph.graph.Graph
 
Graph(int, boolean, VertexFactory<V>) - Constructor for class org.deeplearning4j.graph.graph.Graph
 
Graph(List<Vertex<V>>, boolean) - Constructor for class org.deeplearning4j.graph.graph.Graph
 
Graph(List<Vertex<V>>) - Constructor for class org.deeplearning4j.graph.graph.Graph
 
graph - Variable in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
Graph<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives
Graph, where all edges and vertices are stored in-memory.
Internally, this is a directed graph with adjacency list representation; however, if undirected edges are added, these edges are duplicated internally to allow for fast lookup.
Depending on the value of allowMultipleEdges, this graph implementation may or may not allow multiple edges between any two adjacent nodes.
Graph(int, VertexFactory<V>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
Graph(int, boolean, VertexFactory<V>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
Graph(List<Vertex<V>>, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
Graph(Collection<V>, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
Graph(List<Vertex<V>>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
Graph() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
graph - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
GraphBuilder(NeuralNetConfiguration.Builder) - Constructor for class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
GraphBuilder(ComputationGraphConfiguration, NeuralNetConfiguration.Builder) - Constructor for class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
graphBuilder() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Create a GraphBuilder (for creating a ComputationGraphConfiguration).
GraphBuilder(ComputationGraph) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Computation Graph to tweak for transfer learning
graphBuilder(String) - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
graphBuilder() - Method in class org.deeplearning4j.zoo.model.NASNet
 
graphBuilder() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
graphBuilder() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
graphBuilder() - Method in class org.deeplearning4j.zoo.model.UNet
 
graphBuilder() - Method in class org.deeplearning4j.zoo.model.Xception
 
GraphBuilderModule - Interface in org.deeplearning4j.nn.conf.module
GraphBuilderModule for nn layers.
GraphFeedForwardWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to feed-forward examples, and get the network output (for example, class probabilities).
GraphFeedForwardWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.GraphFeedForwardWithKeyFunction
 
GraphHuffman - Class in org.deeplearning4j.graph.models.deepwalk
An implementation of a Huffman tree specifically for graphs.
GraphHuffman(int) - Constructor for class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
 
GraphHuffman(int, int) - Constructor for class org.deeplearning4j.graph.models.deepwalk.GraphHuffman
 
GraphHuffman - Class in org.deeplearning4j.models.sequencevectors.graph.huffman
An implementation of a Huffman tree specifically for graphs.
GraphHuffman(int) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
GraphHuffman(int, int) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.huffman.GraphHuffman
 
graphIndices - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
Topological sort and vertex index/name + name/index mapping
GraphIndices - Class in org.deeplearning4j.nn.graph.util
Simple helper class for ComputationGraph topological sort and vertex index/name + name/index mapping
GraphIndices() - Constructor for class org.deeplearning4j.nn.graph.util.GraphIndices
 
GraphInfo() - Constructor for class org.deeplearning4j.ui.module.train.TrainModuleUtils.GraphInfo
 
GraphLoader - Class in org.deeplearning4j.graph.data
Utility methods for loading graphs
GraphTransformer<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
This class is used to build vocabulary and sequences out of graph, via GraphWalkers
GraphTransformer() - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
GraphTransformer.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
 
GraphVectorLookupTable - Interface in org.deeplearning4j.graph.models.embeddings
Lookup table for vector representations of the vertices in a graph
GraphVectors<V,E> - Interface in org.deeplearning4j.graph.models
Vectors for nodes in a graph.
GraphVectorSerializer - Class in org.deeplearning4j.graph.models.loader
GraphVectorSerializer: Provide static methods to save and load DeepWalk/Graph vectors
GraphVectorsImpl<V,E> - Class in org.deeplearning4j.graph.models.embeddings
Base implementation for GraphVectors.
GraphVectorsImpl() - Constructor for class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
GraphVertex - Class in org.deeplearning4j.nn.conf.graph
A GraphVertex is a vertex in the computation graph.
GraphVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.GraphVertex
 
GraphVertex - Interface in org.deeplearning4j.nn.graph.vertex
A GraphVertex is a vertex in the computation graph.
GraphWalker<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.graph.walkers
This interface describes methods needed for various DeepWalk-related implementations
GraphWalkIterator<T> - Interface in org.deeplearning4j.graph.iterator
Interface/iterator representing a sequence of walks on a graph For example, a GraphWalkIterator<T> can represesnt a set of independent random walks on a graph
GraphWalkIteratorProvider<V> - Interface in org.deeplearning4j.graph.iterator.parallel
GraphWalkIteratorProvider: implementations of this interface provide a set of GraphWalkIterator objects.
GravesBidirectionalLSTM - Class in org.deeplearning4j.nn.conf.layers
Deprecated.
use Bidirectional instead. With the Bidirectional layer wrapper you can make any recurrent layer bidirectional, in particular GravesLSTM. Note that this layer adds the output of both directions, which translates into "ADD" mode in Bidirectional. Usage: .layer(new Bidirectional(Bidirectional.Mode.ADD, new GravesLSTM.Builder()....build()))
GravesBidirectionalLSTM - Class in org.deeplearning4j.nn.layers.recurrent
RNN tutorial: http://deeplearning4j.org/usingrnns.html READ THIS FIRST Bdirectional LSTM layer implementation.
GravesBidirectionalLSTM(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
GravesBidirectionalLSTM(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
GravesBidirectionalLSTM.Builder - Class in org.deeplearning4j.nn.conf.layers
Deprecated.
 
GravesBidirectionalLSTMParamInitializer - Class in org.deeplearning4j.nn.params
LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
GravesBidirectionalLSTMParamInitializer() - Constructor for class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
GravesLSTM - Class in org.deeplearning4j.nn.conf.layers
LSTM recurrent net, based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
GravesLSTM - Class in org.deeplearning4j.nn.layers.recurrent
LSTM layer implementation.
GravesLSTM(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
GravesLSTM(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
GravesLSTM.Builder - Class in org.deeplearning4j.nn.conf.layers
 
GravesLSTMParamInitializer - Class in org.deeplearning4j.nn.params
LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
GravesLSTMParamInitializer() - Constructor for class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
GREATER - Static variable in class org.deeplearning4j.clustering.kdtree.KDTree
 
GROUP - Static variable in class com.atilika.kuromoji.dict.CharacterDefinitions
 
groupId - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
GroupSizeEncodingDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
GroupSizeEncodingDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
GroupSizeEncodingEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
GroupSizeEncodingEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
GrowableIntArray(int) - Constructor for class com.atilika.kuromoji.compile.WordIdMapCompiler.GrowableIntArray
 
GrowableIntArray() - Constructor for class com.atilika.kuromoji.compile.WordIdMapCompiler.GrowableIntArray
 
gt(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
gteq(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
guessNature(String) - Static method in class org.ansj.recognition.impl.NatureRecognition
通过规则 猜测词性
gunzipFile(File, File) - Static method in class org.deeplearning4j.base.MnistFetcher
 
gz - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 

H

handler - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
handler - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
handler - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
handlers - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
handleUpdaterBackwardCompatibility(BaseLayer, ObjectNode) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
hardwareInfo() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
hardwareInfo(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
HardwareMetric - Class in org.deeplearning4j.perf.listener
 
hasAFrozenLayer() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
hasAttribute(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Check whether group path contains string attribute.
hasBias(boolean) - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
If true (default): include bias parameters in the model.
hasBias - Variable in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
hasBias - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
hasBias(boolean) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
If true (default): include bias parameters in the model.
hasBias - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
hasBias(boolean) - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer.Builder
If true (default): include bias parameters in the model.
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
 
hasBias(boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer.Builder
If true: include bias parameters in the layer.
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
 
hasBias(boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
If true: include bias parameters in the layer.
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
hasBias() - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
hasBias() - Method in class org.deeplearning4j.nn.layers.BaseLayer
Does this layer have no bias term? Many layers (dense, convolutional, output, embedding) have biases by default, but no-bias versions are possible via configuration
hasBias() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
hasBias() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
hasBias() - Method in class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
hasBias() - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
hasBias() - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
hasBias - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution
 
hasBias(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
hasDataSetMetaData() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether any DataSet metadata is present or not
hasDataSetMetaData() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasDataSetMetaData() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasDepleted - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
hasDepleted - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
hasGarbageCollection() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether garbage collection information has been reported
hasGarbageCollection() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasGarbageCollection() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hash(INDArray) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
Returns hash values for a particular query
hash - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
hasHardwareInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
hasHardwareInfo() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
hasHardwareInfo() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
hashCached - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
hashCode() - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
hashCode() - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
hashCode() - Method in class org.deeplearning4j.clustering.sptree.HeapObject
 
hashCode() - Method in class org.deeplearning4j.eval.ConfusionMatrix
 
hashCode() - Method in class org.deeplearning4j.graph.api.Edge
 
hashCode() - Method in class org.deeplearning4j.graph.api.Vertex
 
hashCode() - Method in class org.deeplearning4j.graph.graph.Graph
 
hashCode() - Method in class org.deeplearning4j.models.glove.count.CoOccurrenceWeight
 
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
 
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
 
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
hashCode() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
hashCode method override should be properly implemented for any extended class, otherwise it will be based on label hashCode
hashCode() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
hashCode() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
hashCode() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
hashCode() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
hashCode() - Method in class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
hashCode() - Method in class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
 
hashCode() - Method in class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction
 
hashCode() - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
 
hashCode() - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
 
hashCode() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
hashCode() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
hashCode() - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
hashCode() - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
HashingBalancedPartitioner - Class in org.deeplearning4j.spark.impl.common.repartition
This is a custom partitioner that rebalances a minimum of elements it expects a key in the form (SparkUID, class)
HashingBalancedPartitioner(List<List<Double>>) - Constructor for class org.deeplearning4j.spark.impl.common.repartition.HashingBalancedPartitioner
 
hasHistograms(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether histograms have been reported, for the given stats type (Parameters, Updates, Activations)
hasHistograms(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasHistograms(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasIterator(DataSetIterator) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
hasLayer() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Whether the GraphVertex contains a Layer object or not
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
hasLayer() - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
hasLearningRates() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether the learning rates are present (have been reported)
hasLearningRates() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasLearningRates() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasLossFunction() - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
hasLossFunction() - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
hasLossFunction() - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
hasLossFunction() - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
hasLossFunction() - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
hasLossFunction() - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Does this reconstruction distribution has a standard neural network loss function (such as mean squared error, which is deterministic) or is it a standard VAE with a probabilistic reconstruction distribution?
hasLossFunction() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Does the reconstruction distribution have a loss function (such as mean squared error) or is it a standard probabilistic reconstruction distribution?
hasMemoryUse() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether memory use has been reported
hasMemoryUse() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasMemoryUse() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasModelInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
hasModelInfo() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
hasModelInfo() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
hasMore() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Whether the dataset has more to load
hasMore() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
hasMoreLines() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
 
hasMoreObjects() - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
 
hasMoreObjects() - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
hasMoreObjects() - Method in interface org.deeplearning4j.models.glove.count.CoOccurenceReader
 
hasMoreSequences() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
 
hasMoreSequences() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
Checks, if there's more sequences available
hasMoreSequences() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
Checks, if there's any more sequences left in underlying iterator
hasMoreSequences() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
Checks, if there's any more sequences left in data source
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
Checks, if any prebuffered tokens left, otherswise checks underlying stream
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
 
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
hasMoreTokens() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
An iterator for tracking whether more tokens are left in the iterator not
hasMoreTokens() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
hasNext() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
hasNext() - Method in class org.deeplearning4j.aws.s3.reader.BucketIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
hasNext() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Whether the iterator has any more vertex sequences.
hasNext() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
hasNext() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
hasNext() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
hasNext() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Are there more sentences/documents available?
hasNext() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
hasNext() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
hasNext() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
hasNext() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
hasNext() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
hasNext() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
 
hasNext() - Method in interface org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.Reader
 
hasNext() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
This method checks, if walker has any more sequences left in queue
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
hasNext() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
hasNext() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.parallelism.AsyncIterator
 
hasNext() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
hasNext() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
hasNext() - Method in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
hasNext() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
hasNext() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
hasNext() - Method in class org.deeplearning4j.text.corpora.treeparser.TreeIterator
Returns true if the iteration has more elements.
hasNext() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
hasNext() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
hasNext() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator
Whether there are anymore documents in the iterator
hasNext() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
hasNext() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
hasNext() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
hasNext() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
hasNext() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
hasNext() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
Same idea as Iterator
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
hasNext() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
hasNext() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
This method checks, if there's more LabelledDocuments
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
hasNextDocument() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
hasNextDocument() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
This method checks, if there's more LabelledDocuments in underlying iterator
hasNextDocument() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
hasNextFor() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
hasNextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
hasNextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
hasNextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
hasNextFor() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
hasNextFor(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
hasNum - Variable in class org.ansj.util.Graph
 
hasPerformance() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether performance stats (total time, total examples etc) have been reported
hasPerformance() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasPerformance() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasPerson - Variable in class org.ansj.util.Graph
 
hasScore() - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether the score is present (has been reported)
hasScore() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasScore() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasSinglePath() - Method in class com.atilika.kuromoji.trie.Trie.Node
Predicate indicating if children following this node forms single key path (no branching)
hasSoftwareInfo() - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
hasSoftwareInfo() - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
hasSoftwareInfo() - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
hasSomething - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
hasSomething - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
hasSummaryStats(StatsType, SummaryType) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Return whether the summary stats (mean, standard deviation, mean magnitudes) have been reported for the given stats type (Parameters, Updates, Activations)
hasSummaryStats(StatsType, SummaryType) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
hasSummaryStats(StatsType, SummaryType) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
hasToken(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Checks, if specified label already exists in vocabulary.
hasToken(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
hasToken(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns whether the cache contains this token or not
hasWord(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Returns true if the model has this word in the vocab
hasWord(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Returns true if the model has this word in the vocab
hasWord(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Returns true if the model has this word in the vocab
hBeta(INDArray, double) - Method in class org.deeplearning4j.plot.Tsne
Computes a gaussian kernel given a vector of squared distance distances
Hdf5Archive - Class in org.deeplearning4j.nn.modelimport.keras
Class for reading ND4J arrays and JSON strings from HDF5 archive files.
Hdf5Archive(String) - Constructor for class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
 
HdfsModelExporter<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.export.impl
Simple exporter, that will persist your SequenceVectors model into HDFS using TSV format
HdfsModelExporter() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
 
HdfsModelExporter(String) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
 
HdfsModelExporter(String, CompressionCodec) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
 
header(String...) - Method in class org.deeplearning4j.ui.components.table.ComponentTable.Builder
 
headerColor(Color) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
headerColor(String) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
 
HeadWordFinder - Class in org.deeplearning4j.text.corpora.treeparser
 
HeadWordFinder(boolean) - Constructor for class org.deeplearning4j.text.corpora.treeparser.HeadWordFinder
 
HeadWordFinder() - Constructor for class org.deeplearning4j.text.corpora.treeparser.HeadWordFinder
 
HeapItem - Class in org.deeplearning4j.clustering.sptree
 
HeapItem(int, double) - Constructor for class org.deeplearning4j.clustering.sptree.HeapItem
 
HeapObject - Class in org.deeplearning4j.clustering.sptree
 
HeapObject(int, INDArray, double) - Constructor for class org.deeplearning4j.clustering.sptree.HeapObject
 
HeapObjectComparator() - Constructor for class org.deeplearning4j.clustering.vptree.VPTree.HeapObjectComparator
 
HEIGHT - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
height - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
height(double, LengthUnit) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
heightUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
helper - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
helper - Variable in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
helper - Variable in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
helperCountFail - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
helperCountFail - Variable in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
hiddenLayerSize - Variable in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
hiddenLayerSize(int) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
Histogram - Class in org.deeplearning4j.eval.curves
A simple histogram used in evaluation classes, such as EvaluationCalibration
Histogram(String, double, double, int[]) - Constructor for class org.deeplearning4j.eval.curves.Histogram
 
Histogram - Class in org.deeplearning4j.ui.stats.api
Histogram: values for a single histogram.
Histogram() - Constructor for class org.deeplearning4j.ui.stats.api.Histogram
 
histogramActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
histogramActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
HistogramBin - Class in org.deeplearning4j.ui.weights
 
HistogramBin() - Constructor for class org.deeplearning4j.ui.weights.HistogramBin
No-Args constructor should be used only for serialization/deserialization purposes.
HistogramBin(INDArray) - Constructor for class org.deeplearning4j.ui.weights.HistogramBin
Builds histogram bin for specified array
HistogramBin.Builder - Class in org.deeplearning4j.ui.weights
 
histogramCounts() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
histogramCountsCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
HistogramCountsDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
histogramCountsDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
HistogramCountsEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
histogramCountsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
histogramGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
histogramGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
histogramParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
histogramParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
histograms() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
histogramsCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
HistogramsDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
histogramsDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
HistogramsEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
histogramsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
histogramUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
histogramUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
HostProvisioner - Class in org.deeplearning4j.aws.ec2.provision
Meant for uploading files to remote servers
HostProvisioner(String, String, String, int) - Constructor for class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
HostProvisioner(String, String, String) - Constructor for class org.deeplearning4j.aws.ec2.provision.HostProvisioner
Connects to port 22
HostProvisioner(String, String) - Constructor for class org.deeplearning4j.aws.ec2.provision.HostProvisioner
Connects to port 22
HostProvisioner(String) - Constructor for class org.deeplearning4j.aws.ec2.provision.HostProvisioner
Connects to port 22, user root, with no password
HttpMethod - Enum in org.deeplearning4j.ui.api
Enumeration for the type of HTTP method.
Huffman - Class in org.deeplearning4j.models.word2vec
Huffman tree builder
Huffman(Collection<? extends SequenceElement>) - Constructor for class org.deeplearning4j.models.word2vec.Huffman
 
Huffman(Collection<? extends SequenceElement>, int) - Constructor for class org.deeplearning4j.models.word2vec.Huffman
Builds Huffman tree for collection of SequenceElements, with defined CODE_LENGTH Default CODE_LENGTH is 40
HuffmanNode - Class in org.deeplearning4j.models.word2vec.wordstore
Huffman tree node info, needed for w2v calculations.
HuffmanNode() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.HuffmanNode
 
HuffmanNode(byte[], int[], int, byte) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.HuffmanNode
 
hugeModelExpected - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
hugeModelExpected - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
hugeModelExpected(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
hugeModelExpected(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
With this argument set to true, you'll have your vocab scanned for low-freq words periodically.
hwDeviceInfoGroup() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwDeviceInfoGroupCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
HwDeviceInfoGroupDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
hwDeviceInfoGroupDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
HwDeviceInfoGroupEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
hwDeviceInfoGroupId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwHardwareUID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwHardwareUID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwHardwareUIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwHardwareUIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwHardwareUIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwHardwareUIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwHardwareUIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwHardwareUIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwHardwareUIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwHardwareUIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwHardwareUIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmMaxMemory() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmMaxMemory(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmMaxMemoryId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmMaxMemoryMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmMaxMemoryMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmMaxMemoryMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmMaxMemoryMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmMaxMemoryMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmMaxMemoryNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmMaxMemoryNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmProcessors() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmProcessors(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmProcessorsId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmProcessorsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmProcessorsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmProcessorsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmProcessorsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmProcessorsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwJvmProcessorsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwJvmProcessorsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwNumDevices() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwNumDevices(short) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwNumDevicesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwNumDevicesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwNumDevicesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwNumDevicesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwNumDevicesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwNumDevicesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwNumDevicesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwNumDevicesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwOffheapMaxMemory() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwOffheapMaxMemory(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwOffheapMaxMemoryId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwOffheapMaxMemoryMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwOffheapMaxMemoryMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwOffheapMaxMemoryMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwOffheapMaxMemoryMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwOffheapMaxMemoryMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
hwOffheapMaxMemoryNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
hwOffheapMaxMemoryNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
HyperRect - Class in org.deeplearning4j.clustering.kdtree
Created by agibsonccc on 12/29/14.
HyperRect(List<HyperRect.Interval>) - Constructor for class org.deeplearning4j.clustering.kdtree.HyperRect
 
HyperRect.Interval - Class in org.deeplearning4j.clustering.kdtree
 
hypotenuse(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
sqrt(a^2 + b^2) without under/overflow.

I

i - Variable in class org.ansj.splitWord.impl.GetWordsImpl
 
I18N - Interface in org.deeplearning4j.ui.api
Interface to handle user interface internationalization.
I18NProvider - Class in org.deeplearning4j.ui.i18n
Returns the currently used I18N (Internationalization) class
I18NProvider() - Constructor for class org.deeplearning4j.ui.i18n.I18NProvider
 
I18NResource - Class in org.deeplearning4j.ui.i18n
 
I18NResource() - Constructor for class org.deeplearning4j.ui.i18n.I18NResource
 
I18NRoute - Class in org.deeplearning4j.ui.play.staticroutes
Route for global internationalization setting
I18NRoute() - Constructor for class org.deeplearning4j.ui.play.staticroutes.I18NRoute
 
i2d - Variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
ia - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
id - Variable in class org.ansj.domain.TermNatures
词的id
id - Variable in class org.deeplearning4j.optimize.listeners.SharedGradient
 
id - Variable in class org.deeplearning4j.ui.standalone.ComponentObject
 
IDCardRecognition - Class in org.ansj.recognition.impl
基于规则的新词发现,身份证号码识别
IDCardRecognition() - Constructor for class org.ansj.recognition.impl.IDCardRecognition
 
idf(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Inverse document frequency: the total docs divided by the number of times the word appeared in a document
IDropout - Interface in org.deeplearning4j.nn.conf.dropout
IDropout instances operate on an activations array, modifying or dropping values at training time only.
iDropout - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
iDropout - Variable in class org.deeplearning4j.nn.conf.layers.Layer
 
idropOut - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
idxCounter - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
IEarlyStoppingTrainer<T extends Model> - Interface in org.deeplearning4j.earlystopping.trainer
Interface for early stopping trainers
IEvaluateAggregateFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
A simple function to merge IEvaluation instances
IEvaluateAggregateFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateAggregateFunction
 
IEvaluateFlatMapFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
Function to evaluate data (using an IEvaluation instance), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned for network efficiency.
IEvaluateFlatMapFunction(boolean, Broadcast<String>, Broadcast<INDArray>, int, T...) - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluateFlatMapFunction
 
IEvaluateMDSFlatMapFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.graph.evaluation
Function to evaluate data (using one or more IEvaluation instances), in a distributed manner Flat map function used to batch examples for computational efficiency + reduce number of IEvaluation objects returned for network efficiency.
IEvaluateMDSFlatMapFunction(Broadcast<String>, Broadcast<INDArray>, int, T...) - Constructor for class org.deeplearning4j.spark.impl.graph.evaluation.IEvaluateMDSFlatMapFunction
 
IEvaluation<T extends IEvaluation> - Interface in org.deeplearning4j.eval
A general purpose interface for evaluating neural networks - methods are shared by implemetations such as Evaluation, RegressionEvaluation, ROC, ROCMultiClass
IEvaluationReduceFunction<T extends IEvaluation> - Class in org.deeplearning4j.spark.impl.multilayer.evaluation
Reduction function for use with IEvaluateFlatMapFunction for distributed evaluation
IEvaluationReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.evaluation.IEvaluationReduceFunction
 
IGraph<V,E> - Interface in org.deeplearning4j.graph.api
Interface for a IGraph, with objects for each vertex and edge.
IGraph<V extends SequenceElement,E extends Number> - Interface in org.deeplearning4j.models.sequencevectors.graph.primitives
Interface for a IGraph, with objects for each vertex and edge.
ImageNetLabels - Class in org.deeplearning4j.zoo.util.imagenet
Helper class with a static method that returns the label description.
ImageNetLabels() - Constructor for class org.deeplearning4j.zoo.util.imagenet.ImageNetLabels
 
imageTransform - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
importKerasModelAndWeights(InputStream, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String, int[], boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model saved using model.save_model(...).
importKerasModelAndWeights(String, String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importKerasModelAndWeights(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importKerasModelConfiguration(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasModelConfiguration(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras (Functional API) Model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialConfiguration(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialConfiguration(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration was saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialModelAndWeights(InputStream, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(InputStream) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String, int[], boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model saved using model.save_model(...).
importKerasSequentialModelAndWeights(String, String, boolean) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importKerasSequentialModelAndWeights(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
Load Keras Sequential model for which the configuration and weights were saved separately using calls to model.to_json() and model.save_weights(...).
importVocabulary(VocabCache<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
This method imports all elements from VocabCache passed as argument If element already exists,
importVocabulary(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
importVocabulary(VocabCache<T>) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
imports vocabulary
importWeights(Hdf5Archive, String, Map<String, KerasLayer>, int, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Store weights to import with each associated Keras layer.
inboundLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
InceptionResNetHelper - Class in org.deeplearning4j.zoo.model.helper
Inception is based on GoogleLeNet configuration of convolutional layers for optimization of resources and learning.
InceptionResNetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
 
InceptionResNetV1 - Class in org.deeplearning4j.zoo.model
A variant of the original FaceNet model that relies on embeddings and triplet loss.
inceptionV1ResA(ComputationGraphConfiguration.GraphBuilder, String, int, double, String) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
Append Inception-ResNet A to a computation graph.
inceptionV1ResB(ComputationGraphConfiguration.GraphBuilder, String, int, double, String) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
Append Inception-ResNet B to a computation graph.
inceptionV1ResC(ComputationGraphConfiguration.GraphBuilder, String, int, double, String) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
Append Inception-ResNet C to a computation graph.
increaseElementFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increases element frequency counter by argument
increment() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
incrementAll(Counter<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.primitives.ExtraCounter
 
incrementCount(T, T, double) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
incrementCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment number of documents the label was observed in Please note: this method is NOT thread-safe
incrementDocCount(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
incrementDocCount(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the document count
incrementElementFrequency() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increases element frequency counter by 1
incrementEpochCount() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Increment the epoch count (in the underlying ComputationGraphConfiguration by 1).
incrementEpochCount() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Increment the epoch count (in the underlying MultiLayerConfiguration by 1).
incrementFalseNegatives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementFalsePositive(long) - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
 
incrementFalsePositives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementIteration() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
incrementIterationCount(Model, int) - Static method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
incrementRetentionStep() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
incrementSequencesCount() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increments document count by one
incrementSequencesCount(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Increments document count by specified value
incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment total number of documents observed by 1
incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment total number of documents observed by specified value
incrementTotalDocCount() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
incrementTotalDocCount(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
incrementTotalDocCount() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the doc count
incrementTotalDocCount(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the doc count
incrementTrueNegatives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementTruePositive(long) - Method in class org.deeplearning4j.eval.ROC.CountsForThreshold
 
incrementTruePositives(Integer) - Method in class org.deeplearning4j.eval.Evaluation
 
incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment frequency for specified label by 1
incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Increment frequency for specified label by specified value
incrementWordCount(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Increment the count for the given word
incrementWordCount(String, int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Increment the count for the given word by the amount increment
incrementWordCount(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the count for the given word
incrementWordCount(String, int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Increment the count for the given word by the amount increment
incrementWordCounter(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Increments by one number of occurencies of the word in corpus
INDArrayDataSetIterator - Class in org.deeplearning4j.datasets.iterator
 
INDArrayDataSetIterator(Iterable<Pair<INDArray, INDArray>>, int) - Constructor for class org.deeplearning4j.datasets.iterator.INDArrayDataSetIterator
 
index - Variable in class org.ansj.domain.Nature
 
index - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
index - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
index(InvertedIndex) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
index(InvertedIndex<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
index - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
index(InvertedIndex<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
Deprecated.
index - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
index - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
index - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
index - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
IndexAnalysis - Class in org.ansj.splitWord.analysis
用于检索的分词方式
IndexAnalysis() - Constructor for class org.ansj.splitWord.analysis.IndexAnalysis
 
IndexAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.IndexAnalysis
 
indexOf(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
indexOf(String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns Huffman index for specified label
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the index of a given word
indexOf(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the index of a given word
indexOf(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method returns index of word in sorted list.
indexOf(String) - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
 
indices - Variable in class org.deeplearning4j.clustering.vptree.VPTree.NodeBuilder
 
inequalityHandling - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
 
InferenceCallable(VocabCache<VocabWord>, TokenizerFactory, LabelledDocument, AtomicLong) - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.InferenceCallable
 
inferenceExecutor - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
inferenceLocker - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
InferenceMode - Enum in org.deeplearning4j.parallelism.inference
 
inferenceMode(InferenceMode) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method allows you to define mode that'll be used during inference.
InferenceObservable - Interface in org.deeplearning4j.parallelism.inference
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
This method defines Workspace mode being used during inference:
NONE: workspace won't be used
ENABLED: workspaces will be used for inference (reduced memory and better performance)
inferenceWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
This method defines Workspace mode being used during inference:
NONE: workspace won't be used
ENABLED: workspaces will be used for inference (reduced memory and better performance)
inferenceWorkspaceMode - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
inferInputLength(boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
Set input sequence inference mode for embedding layer.
inferInputType(INDArray) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
 
inferInputTypes(INDArray...) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
 
inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<T>, long, double, double, int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<T>, long, double, double, int) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
This method does training on previously unseen paragraph, and returns inferred vector
inferSequence(Sequence<ShallowSequenceElement>, long, double, double, int) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
inferVector(Collection<Vertex<V>>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec
Deprecated.
 
inferVector(String, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given text
inferVector(LabelledDocument, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given document
inferVector(List<VocabWord>, double, double, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given document
inferVector(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given text, with default parameters for learning rate and iterations
inferVector(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given document, with default parameters for learning rate and iterations
inferVector(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method calculates inferred vector for given list of words, with default parameters for learning rate and iterations
inferVectorBatched(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method implements batched inference, based on Java Future parallelism model.
inferVectorBatched(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method implements batched inference, based on Java Future parallelism model.
inferVectorBatched(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method does inference on a given List<String>
information(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the entropy for a given vector of probabilities.
init(String[]) - Method in class org.ansj.domain.AnsjItem
 
init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
init(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
init(WeightLookupTable<T>) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
This method implementations should accept given lookup table, and use them in further calls to interface methods
init - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
init() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Init method validates configuration defined using
init() - Method in interface org.deeplearning4j.nn.api.Model
Init the model
init() - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method does initialization of model PLEASE NOTE: All implementations should track own state, to avoid double spending
init(NeuralNetConfiguration, INDArray, boolean) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Initialize the parameters
init() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Initialize the ComputationGraph network
init(INDArray, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Initialize the ComputationGraph, optionally with an existing parameters array.
init() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
Init the model
init() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
Init the model
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
init() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
init() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Init the model
init() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
init(SolrResourceLoader) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
init() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the MultiLayerNetwork.
init(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the MultiLayerNetwork, optionally with an existing parameters array.
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.ElementWiseParamInitializer
Initialize the parameters
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
init(NeuralNetConfiguration, INDArray, boolean) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
init() - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.DefaultTrainerContext
Initialize the context
init(Model, Object...) - Method in class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext
Initialize the context
init(Model, Object...) - Method in interface org.deeplearning4j.parallelism.factory.TrainerContext
Initialize the context
init() - Method in class org.deeplearning4j.parallelism.ParallelInference
 
init() - Method in class org.deeplearning4j.parallelism.ParallelWrapper
 
init(Model, Object...) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
Initialize the context
init() - Method in class org.deeplearning4j.plot.BarnesHutTsne
Init the model
init() - Method in class org.deeplearning4j.plot.Tsne
 
init(VoidConfiguration, Transport, Storage, Clipboard) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
init() - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
init() - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
init() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
init() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
init() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
init() - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
init() - Method in class org.deeplearning4j.zoo.model.LeNet
 
init() - Method in class org.deeplearning4j.zoo.model.NASNet
 
init() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
init() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
init() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
init() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
init() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
init() - Method in class org.deeplearning4j.zoo.model.UNet
 
init() - Method in class org.deeplearning4j.zoo.model.VGG16
 
init() - Method in class org.deeplearning4j.zoo.model.VGG19
 
init() - Method in class org.deeplearning4j.zoo.model.Xception
 
init() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
initAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
initBigramTables() - Static method in class org.ansj.util.MyStaticValue
词与词之间的关联表数据
initCalled - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
initCalled - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
initClusters() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
Initialize the cluster centers at random
initDone - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
initExpTable() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
initExpTable() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
InitFieldsPresentDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
InitFieldsPresentDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
InitFieldsPresentEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
InitFieldsPresentEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
initGradientsView() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method: initializes the flattened gradients array (used in backprop) and sets the appropriate subset in all layers.
initGradientsView() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method: initializes the flattened gradients array (used in backprop) and sets the appropriate subset in all layers.
initHolder(VocabCache<VocabWord>, double[], int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
 
initialClusterCount - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
initialize(ClusterSet, boolean) - Static method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
initialize() - Method in interface org.deeplearning4j.earlystopping.termination.EpochTerminationCondition
Initialize the epoch termination condition (often a no-op)
initialize() - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
initialize() - Method in interface org.deeplearning4j.earlystopping.termination.IterationTerminationCondition
Initialize the iteration termination condition (sometimes a no-op)
initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
initialize() - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
initialize(IGraph<V, E>) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Initialize the DeepWalk model with a given graph.
initialize(int[]) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
Initialize the DeepWalk model with a list of vertex degrees for a graph.
Specifically, graphVertexDegrees[i] represents the vertex degree of the ith vertex
vertex degrees are used to construct a binary (Huffman) tree, which is in turn used in the hierarchical softmax implementation
initialize() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
This method handles required initialization for GraphTransformer
initialize(GradientsAccumulator) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
initialize(GradientsAccumulator) - Method in class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
initialize(GradientsAccumulator) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.MessageHandler
This method does initial configuration of given MessageHandler instance
initialize(InputSplit) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
initialize(Configuration, InputSplit) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
initialize(UimaContext) - Method in class org.deeplearning4j.text.annotator.PoStagger
Initializes the current instance with the given context.
initialize(UimaContext) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
Initializes the current instance with the given context.
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
 
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Initialize the weight constraints.
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
initializeConstraints(Layer.Builder<?>) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
initializeIterators(List<DataSetIterator>) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
initializeParameters(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
Set the initial parameter values for this layer, if required
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Layer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
initializer() - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
initializeWorkspaces(long) - Method in class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
initialMemory - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
initialMemory - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
initialMomentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
initialMomentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
initialMomentum - Variable in class org.deeplearning4j.plot.Tsne
 
initInference() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
initLearners() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
initNegative() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
initOptimizer() - Method in class org.deeplearning4j.optimize.Solver
 
initParams() - Method in interface org.deeplearning4j.nn.api.Model
Deprecated.
As of 0.7.3 - Feb 2017. Not used; neural network params are initialized by the parameter initializaters. Furthermore, most implementations are unsupported or no-op.
initParams() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
initParams() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
initParams() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
initParams() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
initParams() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
initParams() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
initParams() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
initParams() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
initPretrained() - Method in class org.deeplearning4j.zoo.ZooModel
By default, will return a pretrained ImageNet if available.
initPretrained(PretrainedType) - Method in class org.deeplearning4j.zoo.ZooModel
Returns a pretrained model for the given dataset, if available.
initTypeClass() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initTypeClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
initTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
initValue(String[]) - Method in class org.ansj.domain.AnsjItem
 
initWeights(int, int, WeightInit, INDArray) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
initWeights(int[], float, float) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
 
initWeights(double, double, int[], WeightInit, Distribution, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Initializes a matrix with the given weight initialization scheme.
initWeights(double, double, int[], WeightInit, Distribution, char, INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
 
InMemoryGraphLookupTable - Class in org.deeplearning4j.graph.models.embeddings
A standard in-memory implementation of a lookup table for vector representations of the vertices in a graph
InMemoryGraphLookupTable(int, int, BinaryTree, double) - Constructor for class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
InMemoryLookupCache - Class in org.deeplearning4j.models.word2vec.wordstore.inmemory
Deprecated.
InMemoryLookupCache() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
InMemoryLookupCache(boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
InMemoryLookupTable<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
Default word lookup table
InMemoryLookupTable() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double, boolean) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
InMemoryLookupTable(VocabCache<T>, int, boolean, double, Random, double) - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
InMemoryLookupTable.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.inmemory
 
InMemoryLookupTable.WeightIterator - Class in org.deeplearning4j.models.embeddings.inmemory
 
InMemoryModelSaver<T extends Model> - Class in org.deeplearning4j.earlystopping.saver
Save the best (and latest) models for early stopping training to memory for later retrieval Note: Assumes that network is cloneable via .clone() method
InMemoryModelSaver() - Constructor for class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
InMemoryStatsStorage - Class in org.deeplearning4j.ui.storage
A StatsStorage implementation that stores all data in memory.
InMemoryStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
input() - Method in interface org.deeplearning4j.nn.api.Model
The input/feature matrix for the model
input() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
input - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
input() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
input() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
input - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
input() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
input() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
input - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
input() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
input() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
INPUT_CHANNELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
INPUT_HEIGHT - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
INPUT_KEY - Static variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
INPUT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
INPUT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
INPUT_WEIGHT_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
INPUT_WEIGHT_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
INPUT_WIDTH - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
inputColumns() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
inputColumns() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
The length of a feature vector for an individual example
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Input columns for the dataset
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
inputColumns() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
inputColumns - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
inputColumns() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
inputDepth - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
inputFormat(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
inputHeight - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
inputHeight - Variable in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
InputHomogenization - Class in org.deeplearning4j.text.inputsanitation
Performs some very basic textual transformations such as word shape, lower casing, and stripping of punctuation
InputHomogenization(String) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
Input text to applyTransformToOrigin
InputHomogenization(String, boolean) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
 
InputHomogenization(String, List<String>) - Constructor for class org.deeplearning4j.text.inputsanitation.InputHomogenization
 
inputLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
inputLength(int) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer.Builder
Set input sequence length for this embedding layer.
inputMaskArray - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
inputMaskArrayState - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
inputPreProcessor(String, InputPreProcessor) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the processors for a given layer These are used at each layer for doing things like normalization and shaping of input.
Note: preprocessors can also be defined using the ComputationGraphConfiguration.GraphBuilder.addLayer(String, Layer, InputPreProcessor, String...) method.
InputPreProcessor - Interface in org.deeplearning4j.nn.conf
Input pre processor used for pre processing input before passing it to the neural network.
inputPreProcessor(Integer, InputPreProcessor) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
Specify the processors.
inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inputPreProcessors(Map<Integer, InputPreProcessor>) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inputPreProcessors - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
inputs - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
inputShape - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
inputShape - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
inputShape(int[]) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
InputStreamCreator - Interface in org.deeplearning4j.models.word2vec
Created by agibsonccc on 10/19/14.
InputType - Class in org.deeplearning4j.nn.conf.inputs
The InputType class is used to track and define the types of activations etc used in a ComputationGraph.
InputType() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType
 
inputType - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
inputType() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
A convenience method for setting input types: note that for example .inputType().convolutional(h,w,d) is equivalent to .setInputType(InputType.convolutional(h,w,d))
InputType.InputTypeConvolutional - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeConvolutional3D - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeConvolutionalFlat - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeFeedForward - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.InputTypeRecurrent - Class in org.deeplearning4j.nn.conf.inputs
 
InputType.Type - Enum in org.deeplearning4j.nn.conf.inputs
The type of activations in/out of a given GraphVertex
FF: Standard feed-foward (2d minibatch, 1d per example) data
RNN: Recurrent neural network (3d minibatch) time series data
CNN: 2D Convolutional neural network (4d minibatch, [miniBatchSize, channels, height, width]) CNNFlat: Flattened 2D conv net data (2d minibatch, [miniBatchSize, height * width * channels]) CNN3D: 3D convolutional neural network (5d minibatch, [miniBatchSize, channels, height, width, channels])
InputTypeBuilder() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
 
InputTypeConvolutional() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
InputTypeConvolutional3D() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
InputTypeConvolutionalFlat() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
InputTypeFeedForward() - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
InputTypeRecurrent(int) - Constructor for class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
InputTypeUtil - Class in org.deeplearning4j.nn.conf.layers
Utilities for calculating input types
InputTypeUtil() - Constructor for class org.deeplearning4j.nn.conf.layers.InputTypeUtil
 
inputUri(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
inputUris - Variable in class org.deeplearning4j.BasePipeline
 
inputUris() - Method in class org.deeplearning4j.BasePipeline
 
inputUris() - Method in interface org.deeplearning4j.Pipeline
Origin data
inputUris() - Method in class org.deeplearning4j.StreamingPipeline
 
InputVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
An InputVertex simply defines the location (and connection structure) of inputs to the ComputationGraph.
InputVertex(ComputationGraph, String, int, VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
inputVertices - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
A representation of the vertices that are inputs to this vertex (inputs during forward pass) Specifically, if inputVertices[X].getVertexIndex() = Y, and inputVertices[X].getVertexEdgeNumber() = Z then the Zth output of vertex Y is the Xth input to this vertex
inputWeightConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
inputWidth - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
inputWidth - Variable in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
insert(String, String...) - Static method in class org.ansj.library.AmbiguityLibrary
插入到树中呀
insert(String, Value) - Static method in class org.ansj.library.AmbiguityLibrary
插入到树种
insert(String, String, String, int) - Static method in class org.ansj.library.DicLibrary
关键词增加
insert(String, String) - Static method in class org.ansj.library.DicLibrary
增加关键词
insert(String, String[]) - Static method in class org.ansj.library.SynonymsLibrary
覆盖更新同义词 [中国, 中华, 我国] -> replace([中国,华夏]) -> [中国,华夏]
insert(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
Insert a point in to the tree
insert(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Insert an index of the data in to the tree
InsertedDictionary - Class in com.atilika.kuromoji.dict
 
InsertedDictionary(int) - Constructor for class com.atilika.kuromoji.dict.InsertedDictionary
 
insertedDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
insertStopNatures(String, String...) - Static method in class org.ansj.library.StopLibrary
词性过滤
insertStopNatures(String...) - Method in class org.ansj.recognition.impl.StopRecognition
批量增加停用词性 比如 增加nr 后.人名将不在结果中
insertStopRegexes(String, String...) - Static method in class org.ansj.library.StopLibrary
正则过滤
insertStopRegexes(String...) - Method in class org.ansj.recognition.impl.StopRecognition
增加正则表达式过滤
insertStopWords(String, String...) - Static method in class org.ansj.library.StopLibrary
增加停用词
insertStopWords(String, List<String>) - Static method in class org.ansj.library.StopLibrary
增加停用词
insertStopWords(Collection<String>) - Method in class org.ansj.recognition.impl.StopRecognition
批量增加停用词
insertStopWords(String...) - Method in class org.ansj.recognition.impl.StopRecognition
批量增加停用词
insertTerm(Term[], Term, TermUtil.InsertTermType) - Static method in class org.ansj.util.TermUtil
将一个term插入到链表中的对应位置中, 如果这个term已经存在参照type type 0.跳过 1.
insertTerm(Term[], List<Term>, TermNatures) - Static method in class org.ansj.util.TermUtil
 
insertTermNum(Term[], Term) - Static method in class org.ansj.util.TermUtil
 
INSTANCE - Static variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
instanceBidPrice(Optional<Float>) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The optional bid value for this cluster's spot instances see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/how-spot-instances-work.html Uses the on-demand market if empty.
instanceCount(int) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The number of instances this deployment should comprise of
instanceRole(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The EC2 instance role that this cluster's instances should assume see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html
instanceType(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The type of instance this cluster should comprise of See https://aws.amazon.com/ec2/instance-types/
InstantiableModel - Interface in org.deeplearning4j.zoo
Interface for defining a model that can be instantiated and return information about itself.
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
Create a GraphVertex instance, for the given computation graph, given the configuration instance.
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
instantiate(ComputationGraph, String, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping1D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.convolutional.Cropping3D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DenseLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.EmbeddingSequenceLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GravesBidirectionalLSTM
Deprecated.
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GravesLSTM
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Layer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LSTM
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.ElementWiseMultiplicationLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.OutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
instantiate(NeuralNetConfiguration, Collection<TrainingListener>, int, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
instantiateTokenizerFactory() - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
IntDoubleReduceFunction - Class in org.deeplearning4j.spark.impl.common.reduce
Add both elements of a Tuple2<Integer,Double>
IntDoubleReduceFunction() - Constructor for class org.deeplearning4j.spark.impl.common.reduce.IntDoubleReduceFunction
 
IntegerArrayIO - Class in com.atilika.kuromoji.io
 
IntegerArrayIO() - Constructor for class com.atilika.kuromoji.io.IntegerArrayIO
 
IntegerVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
 
IntegerVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.IntegerVertexFactory
 
interleavedCounter - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
InterleavedDataSetCallback - Class in org.deeplearning4j.datasets.iterator.callbacks
This callback migrates incoming datasets in round-robin manner, to ensure TDA for ParallelWrapper
InterleavedDataSetCallback(int) - Constructor for class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
interleavedPutter - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
intersection(Collection<T>, Collection<T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
 
intersectionP(Set<? extends T>, Set<? extends T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
 
Interval(double, double) - Constructor for class org.deeplearning4j.clustering.kdtree.HyperRect.Interval
 
intializeConfigurations() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
IntPartitioner - Class in org.deeplearning4j.spark.data.shuffle
Deprecated.
Use HashPartitioner instead
IntPartitioner() - Constructor for class org.deeplearning4j.spark.data.shuffle.IntPartitioner
Deprecated.
 
InvalidInputTypeException - Exception in org.deeplearning4j.nn.conf.inputs
InvalidInputTypeException: Thrown if the GraphVertex cannot handle the type of input provided.
InvalidInputTypeException(String) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
 
InvalidInputTypeException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
 
InvalidInputTypeException(Throwable) - Constructor for exception org.deeplearning4j.nn.conf.inputs.InvalidInputTypeException
 
InvalidKerasConfigurationException - Exception in org.deeplearning4j.nn.modelimport.keras.exceptions
Indicates that user is attempting to import a Keras model configuration that is malformed or invalid in some other way.
InvalidKerasConfigurationException(String) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException
 
InvalidKerasConfigurationException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException
 
InvalidKerasConfigurationException(Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.InvalidKerasConfigurationException
 
InvalidScoreIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training at this iteration if score is NaN or Infinite for the last minibatch
InvalidScoreIterationTerminationCondition() - Constructor for class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
InvalidStepException - Exception in org.deeplearning4j.exception
Created by agibsonccc on 8/20/14.
InvalidStepException(String) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified detail message.
InvalidStepException(String, Throwable) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified detail message and cause.
InvalidStepException(Throwable) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified cause and a detail message of (cause==null ? null : cause.toString()) (which typically contains the class and detail message of cause).
InvalidStepException(String, Throwable, boolean, boolean) - Constructor for exception org.deeplearning4j.exception.InvalidStepException
Constructs a new exception with the specified detail message, cause, suppression enabled or disabled, and writable stack trace enabled or disabled.
inverse - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
inverseDistanceCalculation() - Method in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
inverseDistanceCalculation() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
inverseDistanceCalculation() - Method in class org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy
 
invert() - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
invertDistanceMetric(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
InvertedIndex<T extends SequenceElement> - Interface in org.deeplearning4j.text.invertedindex
An inverted index for mapping words to documents and documents to words
invocationCount - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
InvocationType - Enum in org.deeplearning4j.optimize.api
This enum holds options for TrainingListener invocation scheme
invocationType - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
INVOKE - Static variable in class com.atilika.kuromoji.dict.CharacterDefinitions
 
invokeListener(Model) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
iou(DetectedObject, DetectedObject) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Returns intersection over union (IOU) between o1 and o2.
IOutputLayer - Interface in org.deeplearning4j.nn.api.layers
Interface for output layers (those that calculate gradients with respect to a labels array)
iris() - Static method in class org.deeplearning4j.datasets.DataSets
 
iris(int) - Static method in class org.deeplearning4j.datasets.DataSets
 
IrisDataFetcher - Class in org.deeplearning4j.datasets.fetchers
 
IrisDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
 
IrisDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
 
IrisDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
IrisDataSetIterator handles traversing through the Iris Data Set.
IrisUtils - Class in org.deeplearning4j.base
 
isActive() - Method in class org.ansj.domain.NewWord
 
isAllowEmptyClusters() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
isAsianName - Variable in class org.ansj.dic.LearnTool
是否开启学习机
isAttached(StatsStorage) - Method in class org.deeplearning4j.ui.api.UIServer
Check whether the specified StatsStorage instance is attached to the UI instance
isAttached(StatsStorage) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
isAutoDiscoveryMode - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
isBalanced(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Are the labels balanced in the training set (that is: are the number of examples for each label equal?)
isBeginLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
 
isBiasParam(Layer, String) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Is the specified parameter a bias?
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
isBiasParam(Layer, String) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
isBlockingMessage() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
isCached() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
Returns a boolean indicating if the dataset is already cached locally.
isClosed() - Method in interface org.deeplearning4j.api.storage.StatsStorage
 
isClosed() - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
isClosed() - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
isClosed() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
isClusteringOptimizationType(ClusteringOptimizationType) - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
isCorrect() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Returns whether the tree is consistent or not
isCorrect() - Method in class org.deeplearning4j.clustering.sptree.SpTree
Verifies the structure of the tree (does bounds checking on each node)
isDebug - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
isDebug - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isDone - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
isDone - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
Since GloVe is learning representations using elements CoOccurences, all training is done in GloVe class internally, so only first thread will execute learning process, and the rest of parent threads will just exit learning process
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
SkipGram has no reasons for early termination ever.
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
DBOW has no reasons for early termination
isEarlyTerminationHit() - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
isEarlyTerminationHit() - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
isEarlyTerminationHit() - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
isEmpty() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Predicate indicating whether this trie is empty
isEmpty() - Method in class org.deeplearning4j.clustering.cluster.Cluster
Whether the cluster is empty or not
isEmpty() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Checks, if sequence is empty
isEmpty() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isEmpty() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
isEmpty() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
isEmpty() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
isEnabled() - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
isEndLabel() - Method in class org.deeplearning4j.text.movingwindow.Window
 
isEnvironmentReady - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
isFirst - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
isFirst - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
isFirst - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
isFirstRun - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
isFName(String) - Static method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
isForeignName - Variable in class org.ansj.dic.LearnTool
 
isGraphNetwork - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
isInference() - Method in enum org.deeplearning4j.nn.conf.memory.MemoryType
 
isInitCalled() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
isInputPreProcessor() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Whether this Keras layer maps to a DL4J InputPreProcessor.
isInputPreProcessor() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasFlatten
Whether this Keras layer maps to a DL4J InputPreProcessor.
isInputPreProcessor() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasPermute
 
isInputPreProcessor() - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape
Whether this Keras layer maps to a DL4J InputPreProcessor.
isInputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
isInputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
isInputVertex() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Whether the GraphVertex is an input vertex
isInputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
isInSystemDic(String) - Static method in class org.ansj.library.DATDictionary
判断一个词语是否在词典中
isInverse() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
isInvert() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
isJoinSupported() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
isKnown() - Method in class com.atilika.kuromoji.TokenBase
Predicate indicating whether this token is known (contained in the standard dictionary)
isLabel - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
isLabel() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Returns whether this element was defined as label, or no
isLabelEnabled() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
 
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
isLabelEnabled() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
 
isLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Whether this Keras layer maps to a DL4J Layer.
isLeaf() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
isLeaf() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
isLeaf() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns whether the node has any children or not
isLocked() - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
isMinibatch - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
isMinibatch - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
isMiniBatch() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
isMiniBatch() - Method in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
isMiniBatch() - Method in class org.deeplearning4j.nn.updater.LayerUpdater
 
isMiniBatch() - Method in class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
isMQ - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
isMQ - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
isNameRecognition - Variable in class org.ansj.splitWord.Analysis
 
isNameRecognition - Static variable in class org.ansj.util.MyStaticValue
 
isNCDHW - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
isNewWord() - Method in class org.ansj.domain.Term
 
isNumRecognition - Variable in class org.ansj.splitWord.Analysis
 
isNumRecognition - Static variable in class org.ansj.util.MyStaticValue
 
isOptimizationApplicableNow(IterationHistory) - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
isOptimizationApplicableNow(IterationHistory) - Method in class org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy
 
isOptimizationApplicableNow(IterationHistory) - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
isOptimizationDefined() - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
isOptimizationDefined() - Method in class org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy
 
isOptimizationDefined() - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
isOutputVertex() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Whether the GraphVertex is an output vertex
isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
isOutputVertex() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
isParallel - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
isPartOfSpeechFeature(int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
isPreTerminal() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Node has one child that is a leaf
isPretrainLayer() - Method in interface org.deeplearning4j.nn.api.Layer
Returns true if the layer can be trained in an unsupervised/pretrain manner (AE, VAE, etc)
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.dense.DenseLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer
Returns true if the layer can be trained in an unsupervised/pretrain manner (VAE, RBMs etc)
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.util.MaskLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
isPretrainLayer() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Is the specified parameter a layerwise pretraining only parameter?
For example, visible bias params in an autoencoder (or, decoder params in a variational autoencoder) aren't used during supervised backprop.
Layers (like DenseLayer, etc) with no pretrainable parameters will return false for all (valid) inputs.
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
isPretrainParam(String) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
isPretrainUpdaterBlock() - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
isQuantifierRecognition - Variable in class org.ansj.splitWord.Analysis
 
isQuantifierRecognition - Static variable in class org.ansj.util.MyStaticValue
 
isRealName - Variable in class org.ansj.splitWord.Analysis
 
isRealName - Static variable in class org.ansj.util.MyStaticValue
 
isRemoteListenerEnabled() - Method in class org.deeplearning4j.ui.api.UIServer
 
isRemoteListenerEnabled() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
isRuleWord(String) - Static method in class org.ansj.splitWord.analysis.NlpAnalysis
判断新词识别出来的词是否可信
isRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
isRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
 
isSatisfied(IterationHistory) - Method in interface org.deeplearning4j.clustering.condition.ClusteringAlgorithmCondition
 
isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.condition.ConvergenceCondition
 
isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.condition.FixedIterationCountCondition
 
isSatisfied(IterationHistory) - Method in class org.deeplearning4j.clustering.condition.VarianceVariationCondition
 
isSet(int, K) - Method in interface com.atilika.kuromoji.trie.PatriciaTrie.KeyMapper
Tests a bit in a key
isSet(int, String) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.StringKeyMapper
 
isSingleLayerUpdater() - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
isSingleLayerUpdater() - Method in class org.deeplearning4j.nn.updater.LayerUpdater
 
isSkipUserDefine - Static variable in class org.ansj.util.MyStaticValue
是否用户辞典不加载相同的词
isSplitOnNakaguro(boolean) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Predictate that splits unknown words on the middle dot character (U+30FB KATAKANA MIDDLE DOT)
isStem() - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
isStopped - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
isStrategyOfType(ClusteringStrategyType) - Method in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
isStrategyOfType(ClusteringStrategyType) - Method in interface org.deeplearning4j.clustering.strategy.ClusteringStrategy
 
isUseAdaGrad() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
isUseAdaGrad() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
isUseAdaGrad() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
isUseAdaGrad() - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
isUser() - Method in class com.atilika.kuromoji.TokenBase
Predicate indicating whether this token is included is from the user dictionary
isValidInboundLayer() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Indicates whether this layer a valid inbound layer.
isVertex() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Whether this Keras layer maps to a DL4J Vertex.
isWeightParam(Layer, String) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Is the specified parameter a weight?
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
isWeightParam(Layer, String) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
item() - Method in class org.ansj.domain.Term
 
iter - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
iter - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
iter - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
iterate(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
iterate(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
iterate(int, int) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
Conduct learning given a pair of vertices (in and out)
iterate(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
iterate(T, T) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Deprecated.
iterate(T, T) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Deprecated.
iterate(SequenceIterator<T>) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
iterate(SentenceIterator) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
iterate(DocumentIterator) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
iterate(SequenceIterator<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
iterate(LabelAwareDocumentIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method used to feed LabelAwareDocumentIterator, that contains training corpus, into ParagraphVectors
iterate(LabelAwareSentenceIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method used to feed LabelAwareSentenceIterator, that contains training corpus, into ParagraphVectors
iterate(LabelAwareIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method used to feed LabelAwareIterator, that contains training corpus, into ParagraphVectors
iterate(DocumentIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method used to feed DocumentIterator, that contains training corpus, into ParagraphVectors
iterate(SentenceIterator) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method used to feed SentenceIterator, that contains training corpus, into ParagraphVectors
iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method used to feed SequenceIterator, that contains training corpus, into ParagraphVectors
iterate(SequenceIterator<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines SequenceIterator to be used for model building
iterate(DocumentIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
iterate(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method used to feed SentenceIterator, that contains training corpus, into ParagraphVectors
iterate(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method used to feed SequenceIterator, that contains training corpus, into ParagraphVectors
iterate(LabelAwareIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method used to feed LabelAwareIterator, that is usually used
iterateBucket(String) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Iterate over individual buckets.
iterateSample(T, T, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Deprecated.
iterateSample(T, int[], AtomicLong, double, boolean, int, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
iterateSample(T, T, AtomicLong, double, boolean, INDArray) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
iterateSample(T, T, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Deprecated.
iterateSample(T, T, double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
glove iteration
iterateSample(T, T, AtomicLong, double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
iterateSample(VocabWord, VocabWord, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
 
iterateSample(Word2VecParam, VocabWord, VocabWord, double, List<Triple<Integer, Integer, Integer>>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
Iterate on the given 2 vocab words
iterateSample(VocabWord, VocabWord, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
Iterate on the given 2 vocab words
iterateSample(VocabWord, VocabWord, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
Iterate on the given 2 vocab words
iterateSample(ShallowSequenceElement, int[], AtomicLong, double, boolean, int, boolean, INDArray) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
 
iterateSample(ShallowSequenceElement, ShallowSequenceElement, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
iterationCount - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
iterationCount - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
iterationCount - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
iterationCount - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
iterationCount - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
iterationCount - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
iterationCount - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
iterationCount() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
iterationCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
iterationCountGreaterThan(int) - Static method in class org.deeplearning4j.clustering.condition.FixedIterationCountCondition
 
iterationCountId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
iterationCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
iterationCountMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
iterationCountMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
iterationCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
iterationCountMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
iterationCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
iterationCountNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.api.IterationListener
Deprecated.
Event listener for each iteration
iterationDone(Model, int, int) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
Event listener for each iteration.
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresIterationListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.CollectScoresListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.ComposableIterationListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
Event listener for each iteration
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.ScoreIterationListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.optimize.listeners.TimeIterationListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
iterationDone(Model, int, int) - Method in class org.deeplearning4j.ui.weights.ConvolutionalIterationListener
Event listener for each iteration
IterationHistory - Class in org.deeplearning4j.clustering.iteration
 
IterationHistory() - Constructor for class org.deeplearning4j.clustering.iteration.IterationHistory
 
IterationInfo - Class in org.deeplearning4j.clustering.iteration
 
IterationInfo(int) - Constructor for class org.deeplearning4j.clustering.iteration.IterationInfo
 
IterationInfo(int, ClusterSetInfo) - Constructor for class org.deeplearning4j.clustering.iteration.IterationInfo
 
IterationListener - Class in org.deeplearning4j.optimize.api
Deprecated.
Use TrainingListener instead
IterationListener() - Constructor for class org.deeplearning4j.optimize.api.IterationListener
Deprecated.
 
iterations(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Ierations and epochs are the same in GloVe implementation.
iterations(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
iterations(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines number of iterations done for each mini-batch during training
iterations - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
iterations(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines how much iterations should be done over batched sequences.
iterations(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines number of iterations done for each mini-batch during training
iterations - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
iterations(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies number of iterations over batch on each node
ITERATIONS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
ITERATIONS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
iterations(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
iterations(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
iterationsCounter - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
iterationsCounter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
IterationTerminationCondition - Interface in org.deeplearning4j.earlystopping.termination
Interface for termination conditions to be evaluated once per iteration (i.e., once per minibatch).
iterationTerminationConditions(IterationTerminationCondition...) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Termination conditions to be evaluated every iteration (minibatch)
iterator() - Method in class org.ansj.domain.Result
 
iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
iterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
iterator - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
iterator - Variable in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
iterator - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
iterator - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
iterator() - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences
This method returns iterator with elements pairs and their weights.
iterator - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
iterator - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
iterator() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
iterator(LabelAwareIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
iterator(SentenceIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
iterator(DocumentIterator) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
iterator - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
iterator() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
iterator() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
iterator - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
iterator() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
iterator() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
iterator - Variable in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
iterator - Variable in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
iterator - Variable in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
iterator() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
Implentation for Iterable interface.
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
iterator() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
iterator() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
IteratorDataSetIterator - Class in org.deeplearning4j.datasets.iterator
A DataSetIterator that works on an Iterator, combining and splitting the input DataSet objects as required to get a consistent batch size.
IteratorDataSetIterator(Iterator<DataSet>, int) - Constructor for class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
iteratorDS - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
iteratorMDS - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
IteratorMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator
A DataSetIterator that works on an Iterator, combining and splitting the input DataSet objects as required to get a consistent batch size.
IteratorMultiDataSetIterator(Iterator<MultiDataSet>, int) - Constructor for class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
iterators - Variable in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
Basic idea here is simple: this DataSetIterator will take in multiple lazy Iterator, and will push them is round-robin manner to ParallelWrapper workers
iterators - Variable in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
iteratorsDS - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
iteratorsMDS - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
IteratorUtils - Class in org.deeplearning4j.spark.datavec.iterator
Utilities for working with RDDs and RecordReaderMultiDataSetIterator
IteratorUtils() - Constructor for class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
 
iupdater - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
iUpdater - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
iUpdater - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
IVertexSequence<T> - Interface in org.deeplearning4j.graph.api
Represents a sequence of vertices in a graph.
General-purpose, but can be used to represent a walk on a graph, for example.
IWeightNoise - Interface in org.deeplearning4j.nn.conf.weightnoise
IWeightNoise instances operate on an weight array(s), modifying values at training time or test time, before they are used.
iz - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 

J

J7FileStatsStorage - Class in org.deeplearning4j.ui.storage.sqlite
A Java 7 compatible file-based StatsStorage implementation, based on SQLite.
J7FileStatsStorage(File) - Constructor for class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
J7StatsListener - Class in org.deeplearning4j.ui.stats
J7StatsListener: a version of the StatsListener but with Java 7 compatibility
J7StatsListener(StatsStorageRouter) - Constructor for class org.deeplearning4j.ui.stats.J7StatsListener
Create a StatsListener with network information collected at every iteration.
J7StatsListener(StatsStorageRouter, int) - Constructor for class org.deeplearning4j.ui.stats.J7StatsListener
Create a StatsListener with network information collected every n >= 1 time steps
J7StatsListener(StatsStorageRouter, StatsInitializationConfiguration, StatsUpdateConfiguration, String, String) - Constructor for class org.deeplearning4j.ui.stats.J7StatsListener
 
JapaneseTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
A thin wrapper for Japanese Morphological Analyzer Kuromoji (ver.0.9.0), it tokenizes texts which is written in languages that words are not separated by whitespaces.
JapaneseTokenizer(Tokenizer, String, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
Tokenize the string with Kuromoji, optionally using baseForms.
JapaneseTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Tokenizer Factory for Japanese based on Kuromoji.
JapaneseTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
Creates a factory that uses the defaults for Kuromoji.
JapaneseTokenizerFactory(boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
Creates a factory that uses the Kuomoji defaults but returns normalized/stemmed "baseForm" tokens.
JapaneseTokenizerFactory(Tokenizer.Builder) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
Create a factory using the supplied Kuromoji configuration.
JapaneseTokenizerFactory(Tokenizer.Builder, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
Create a factory using the supplied Kuromoji configuration.
Jar2Stream - Class in org.ansj.dic.impl
从系统jar包中读取文件,你们不能用,只有我能用 jar://org.ansj.dic.DicReader|/crf.model
Jar2Stream() - Constructor for class org.ansj.dic.impl.Jar2Stream
 
JavaStatsInitializationReport - Class in org.deeplearning4j.ui.stats.impl.java
A 'pure java' implementation of StatsInitializationReport, mainly used for Java 7 compatibility
JavaStatsInitializationReport() - Constructor for class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
JavaStatsReport - Class in org.deeplearning4j.ui.stats.impl.java
Created by Alex on 14/12/2016.
JavaStatsReport() - Constructor for class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
JavaStorageMetaData - Class in org.deeplearning4j.ui.storage.impl
Created by Alex on 14/12/2016.
JavaStorageMetaData() - Constructor for class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
JavaStorageMetaData(long, String, String, String, Class<?>, Class<?>) - Constructor for class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
JavaStorageMetaData(long, String, String, String, String, String) - Constructor for class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
JavaStorageMetaData(long, String, String, String, String, String, Serializable) - Constructor for class org.deeplearning4j.ui.storage.impl.JavaStorageMetaData
 
Jdbc2Stream - Class in org.ansj.dic.impl
jdbc:mysql://192.168.10.103:3306/infcn_mss?useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull|username|password|select name as name,nature,freq from dic where type=1
Jdbc2Stream() - Constructor for class org.ansj.dic.impl.Jdbc2Stream
 
join(String[], String) - Static method in class com.atilika.kuromoji.util.StringUtils
 
JointParallelDataSetIterator - Class in org.deeplearning4j.datasets.iterator.parallel
 
JointParallelDataSetIterator(List<DataSetIterator>, boolean, int, InequalityHandling) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
JointParallelDataSetIterator.Builder - Class in org.deeplearning4j.datasets.iterator.parallel
 
jsonConfig - Variable in class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
JsonExceptionMapper - Class in org.deeplearning4j.ui.exception
 
JsonExceptionMapper() - Constructor for class org.deeplearning4j.ui.exception.JsonExceptionMapper
 
jsonMapper - Static variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
JsonMappers - Class in org.deeplearning4j.nn.conf.serde
JSON mappers for deserializing neural net configurations, etc.
JsonMappers() - Constructor for class org.deeplearning4j.nn.conf.serde.JsonMappers
 
JVM_RANDOM - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
 
jvmId - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 

K

k(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
LRN scaling constant k.
k - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
K_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
kafkaBroker - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
kafkaBrokerList(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
KafkaUriBuilder - Class in org.deeplearning4j.streaming.kafka
Kafka uri builder
KafkaUriBuilder() - Constructor for class org.deeplearning4j.streaming.kafka.KafkaUriBuilder
 
kanjiPenalty(int, int) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Sets a custom kanji penalty
KDNode(INDArray) - Constructor for class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
KDTree - Class in org.deeplearning4j.clustering.kdtree
KDTree based on: https://github.com/nicky-zs/kdtree-python/blob/master/kdtree.py
KDTree(int) - Constructor for class org.deeplearning4j.clustering.kdtree.KDTree
 
KDTree.KDNode - Class in org.deeplearning4j.clustering.kdtree
 
keepAll() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Keep all model checkpoints - i.e., don't delete any.
keepLast(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Keep only the last N most recent model checkpoint files.
keepLastAndEvery(int, int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Keep the last N most recent model checkpoint files, and every M checkpoint files.
For example: suppose you save every 100 iterations, for 2050 iteration, and use keepLastAndEvery(3,5).
Keras1LayerConfiguration - Class in org.deeplearning4j.nn.modelimport.keras.config
All relevant property fields of keras 1.x layers.
Keras1LayerConfiguration() - Constructor for class org.deeplearning4j.nn.modelimport.keras.config.Keras1LayerConfiguration
 
Keras2LayerConfiguration - Class in org.deeplearning4j.nn.modelimport.keras.config
All relevant property fields of keras 2.x layers.
Keras2LayerConfiguration() - Constructor for class org.deeplearning4j.nn.modelimport.keras.config.Keras2LayerConfiguration
 
KerasActivation - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports an Activation layer from Keras.
KerasActivation(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasActivation
Constructor from parsed Keras layer configuration dictionary.
KerasActivation(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasActivation
Constructor from parsed Keras layer configuration dictionary.
KerasActivationUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
Utility functionality for Keras activation functions.
KerasActivationUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils
 
KerasAlphaDropout - Class in org.deeplearning4j.nn.modelimport.keras.layers.noise
Keras wrapper for DL4J dropout layer with AlphaDropout.
KerasAlphaDropout(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasAlphaDropout
Pass-through constructor from KerasLayer
KerasAlphaDropout(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasAlphaDropout
Constructor from parsed Keras layer configuration dictionary.
KerasAlphaDropout(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasAlphaDropout
Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution1D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras 1D atrous / dilated convolution layer.
KerasAtrousConvolution1D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution1D
Pass-through constructor from KerasLayer
KerasAtrousConvolution1D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution1D
Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution1D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution1D
Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras 1D atrous / dilated convolution layer.
KerasAtrousConvolution2D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution2D
Pass-through constructor from KerasLayer
KerasAtrousConvolution2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasAtrousConvolution2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasAtrousConvolution2D
Constructor from parsed Keras layer configuration dictionary.
kerasBackend - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
KerasBatchNormalization - Class in org.deeplearning4j.nn.modelimport.keras.layers.normalization
Imports a BatchNormalization layer from Keras.
KerasBatchNormalization(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Pass-through constructor from KerasLayer
KerasBatchNormalization(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Constructor from parsed Keras layer configuration dictionary.
KerasBatchNormalization(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Constructor from parsed Keras layer configuration dictionary.
KerasBidirectional - Class in org.deeplearning4j.nn.modelimport.keras.layers.wrappers
Builds a DL4J Bidirectional layer from a Keras Bidirectional layer wrapper
KerasBidirectional(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Pass-through constructor from KerasLayer
KerasBidirectional(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Constructor from parsed Keras layer configuration dictionary.
KerasBidirectional(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Constructor from parsed Keras layer configuration dictionary.
KerasConstraintUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
Utility functionality for keras constraints.
KerasConstraintUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils
 
KerasConvolution - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras Convolution base layer
KerasConvolution(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution
Constructor from parsed Keras layer configuration dictionary.
KerasConvolution1D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a 1D Convolution layer from Keras.
KerasConvolution1D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Pass-through constructor from KerasLayer
KerasConvolution1D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Constructor from parsed Keras layer configuration dictionary.
KerasConvolution1D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Constructor from parsed Keras layer configuration dictionary.
KerasConvolution2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a 2D Convolution layer from Keras.
KerasConvolution2D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution2D
Pass-through constructor from KerasLayer
KerasConvolution2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasConvolution2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasConvolution3D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a 3D Convolution layer from Keras.
KerasConvolution3D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution3D
Pass-through constructor from KerasLayer
KerasConvolution3D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution3D
Constructor from parsed Keras layer configuration dictionary.
KerasConvolution3D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution3D
Constructor from parsed Keras layer configuration dictionary.
KerasConvolutionUtils - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Utility functionality for Keras convolution layers.
KerasConvolutionUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolutionUtils
 
KerasCropping1D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a Keras Cropping 1D layer.
KerasCropping1D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping1D
Constructor from parsed Keras layer configuration dictionary.
KerasCropping1D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping1D
Constructor from parsed Keras layer configuration dictionary.
KerasCropping2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a Keras Cropping 2D layer.
KerasCropping2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping2D
Constructor from parsed Keras layer configuration dictionary.
KerasCropping2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping2D
Constructor from parsed Keras layer configuration dictionary.
KerasCropping3D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a Keras Cropping 3D layer.
KerasCropping3D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping3D
Constructor from parsed Keras layer configuration dictionary.
KerasCropping3D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasCropping3D
Constructor from parsed Keras layer configuration dictionary.
KerasDeconvolution2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a 2D Deconvolution layer from Keras.
KerasDeconvolution2D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDeconvolution2D
Pass-through constructor from KerasLayer
KerasDeconvolution2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDeconvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasDeconvolution2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDeconvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasDense - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports a Dense layer from Keras.
KerasDense(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Pass-through constructor from KerasLayer
KerasDense(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Constructor from parsed Keras layer configuration dictionary.
KerasDense(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras depth-wise convolution 2D layer support
KerasDepthwiseConvolution2D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Pass-through constructor from KerasLayer
KerasDepthwiseConvolution2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D(Map<String, Object>, Map<String, ? extends KerasLayer>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D(Map<String, Object>, Map<String, ? extends KerasLayer>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasDepthwiseConvolution2D(Map<String, Object>, Map<String, ? extends KerasLayer>, List<String>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasDropout - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports a Dropout layer from Keras.
KerasDropout(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDropout
Constructor from parsed Keras layer configuration dictionary.
KerasDropout(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDropout
Constructor from parsed Keras layer configuration dictionary.
KerasEmbedding - Class in org.deeplearning4j.nn.modelimport.keras.layers.embeddings
Imports an Embedding layer from Keras.
KerasEmbedding() - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Pass through constructor for unit tests
KerasEmbedding(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Constructor from parsed Keras layer configuration dictionary.
KerasEmbedding(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Constructor from parsed Keras layer configuration dictionary.
KerasFlatten - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports a Keras Flatten layer as a DL4J {Cnn,Rnn}ToFeedForwardInputPreProcessor.
KerasFlatten(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasFlatten
Constructor from parsed Keras layer configuration dictionary.
KerasFlatten(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasFlatten
Constructor from parsed Keras layer configuration dictionary.
KerasFlattenRnnPreprocessor - Class in org.deeplearning4j.nn.modelimport.keras.preprocessors
Preprocessor to flatten input of RNN type
KerasFlattenRnnPreprocessor(int, int) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.KerasFlattenRnnPreprocessor
 
KerasGaussianDropout - Class in org.deeplearning4j.nn.modelimport.keras.layers.noise
 
KerasGaussianDropout(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianDropout
Pass-through constructor from KerasLayer
KerasGaussianDropout(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianDropout
Constructor from parsed Keras layer configuration dictionary.
KerasGaussianDropout(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianDropout
Constructor from parsed Keras layer configuration dictionary.
KerasGaussianNoise - Class in org.deeplearning4j.nn.modelimport.keras.layers.noise
 
KerasGaussianNoise(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianNoise
Pass-through constructor from KerasLayer
KerasGaussianNoise(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianNoise
Constructor from parsed Keras layer configuration dictionary.
KerasGaussianNoise(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.noise.KerasGaussianNoise
Constructor from parsed Keras layer configuration dictionary.
KerasGlobalPooling - Class in org.deeplearning4j.nn.modelimport.keras.layers.pooling
Imports a Keras Pooling layer as a DL4J Subsampling layer.
KerasGlobalPooling(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasGlobalPooling
Constructor from parsed Keras layer configuration dictionary.
KerasGlobalPooling(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasGlobalPooling
Constructor from parsed Keras layer configuration dictionary.
KerasInitilizationUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
Utility functionality for Keras weight initializers
KerasInitilizationUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUtils
 
KerasInput - Class in org.deeplearning4j.nn.modelimport.keras.layers
Imports an Input layer from Keras.
KerasInput(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
Constructor from parsed Keras layer configuration dictionary.
KerasInput(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
Constructor from parsed Keras layer configuration dictionary.
KerasInput(String, int[]) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
Constructor from layer name and input shape.
KerasInput(String, int[], boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.KerasInput
Constructor from layer name and input shape.
KerasLayer - Class in org.deeplearning4j.nn.modelimport.keras
Build Layer from Keras layer configuration.
KerasLayer(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Constructor with Keras version only.
KerasLayer() - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Default constructor.
KerasLayer(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Constructor.
KerasLayer(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Constructor.
KerasLayer.DimOrder - Enum in org.deeplearning4j.nn.modelimport.keras
 
KerasLayerConfiguration - Class in org.deeplearning4j.nn.modelimport.keras.config
All relevant property fields of keras layers.
KerasLayerConfiguration() - Constructor for class org.deeplearning4j.nn.modelimport.keras.config.KerasLayerConfiguration
 
KerasLayerConfigurationFactory - Class in org.deeplearning4j.nn.modelimport.keras.config
 
KerasLayerConfigurationFactory() - Constructor for class org.deeplearning4j.nn.modelimport.keras.config.KerasLayerConfigurationFactory
 
KerasLayerUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
Utility functionality to import keras models
KerasLayerUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasLayerUtils
 
KerasLeakyReLU - Class in org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations
Imports LeakyReLU layer from Keras
KerasLeakyReLU(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations.KerasLeakyReLU
Constructor from parsed Keras layer configuration dictionary.
KerasLeakyReLU(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations.KerasLeakyReLU
Constructor from parsed Keras layer configuration dictionary.
KerasLoss - Class in org.deeplearning4j.nn.modelimport.keras.layers
Builds a DL4J LossLayer from a Keras training loss function.
KerasLoss(String, String, String) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.KerasLoss
Constructor from layer name and input shape.
KerasLoss(String, String, String, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.KerasLoss
Constructor from layer name and input shape.
KerasLossUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
Utility functionality for keras loss functions
KerasLossUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasLossUtils
 
KerasLRN - Class in org.deeplearning4j.nn.modelimport.keras.layers.custom
Keras does not have an official LRN layer.
KerasLRN(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasLRN
Constructor from parsed Keras layer configuration dictionary.
KerasLRN(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasLRN
Constructor from parsed Keras layer configuration dictionary.
KerasLstm - Class in org.deeplearning4j.nn.modelimport.keras.layers.recurrent
Imports a Keras LSTM layer as a DL4J LSTM layer.
KerasLstm(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Pass-through constructor from KerasLayer
KerasLstm(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Constructor from parsed Keras layer configuration dictionary.
KerasLstm(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Constructor from parsed Keras layer configuration dictionary.
KerasLstm(Map<String, Object>, Map<String, ? extends KerasLayer>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Constructor from parsed Keras layer configuration dictionary.
KerasLstm(Map<String, Object>, boolean, Map<String, ? extends KerasLayer>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Constructor from parsed Keras layer configuration dictionary.
kerasMajorVersion - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
kerasMajorVersion - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
KerasMerge - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports a Keras Merge layer as a DL4J Merge (graph) vertex.
KerasMerge(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasMerge
Pass-through constructor from KerasLayer
KerasMerge(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasMerge
Constructor from parsed Keras layer configuration dictionary.
KerasMerge(Map<String, Object>, ElementWiseVertex.Op, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasMerge
Constructor from parsed Keras layer configuration dictionary and merge mode passed in.
KerasMerge(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasMerge
Constructor from parsed Keras layer configuration dictionary.
KerasModel - Class in org.deeplearning4j.nn.modelimport.keras
Build ComputationGraph from Keras (Functional API) Model or Sequential model configuration.
KerasModel() - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
KerasModel(KerasModelBuilder) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasModel
(Recommended) Builder-pattern constructor for (Functional API) Model.
KerasModel(String, String, Hdf5Archive, String, String, Hdf5Archive, boolean, int[]) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasModel
(Not recommended) Constructor for (Functional API) Model from model configuration (JSON or YAML), training configuration (JSON), weights, and "training mode" boolean indicator.
KerasModelBuilder - Class in org.deeplearning4j.nn.modelimport.keras.utils
 
KerasModelBuilder(KerasModelConfiguration) - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
KerasModelConfiguration - Class in org.deeplearning4j.nn.modelimport.keras.config
Basic properties and field names of serialised Keras models.
KerasModelConfiguration() - Constructor for class org.deeplearning4j.nn.modelimport.keras.config.KerasModelConfiguration
 
KerasModelImport - Class in org.deeplearning4j.nn.modelimport.keras
Reads stored Keras configurations and weights from one of two archives: either (1) a single HDF5 file storing model and training JSON configurations and weights or (2) separate text file storing model JSON configuration and HDF5 file storing weights.
KerasModelImport() - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasModelImport
 
KerasModelUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
Utility functionality to import keras models
KerasModelUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
 
KerasPermute - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports Permute layer from Keras
KerasPermute(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasPermute
Constructor from parsed Keras layer configuration dictionary.
KerasPermute(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasPermute
Constructor from parsed Keras layer configuration dictionary.
KerasPoolHelper - Class in org.deeplearning4j.nn.modelimport.keras.layers.custom
Custom PoolHelper layer developed for importing GoogLeNet.
KerasPoolHelper(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasPoolHelper
Constructor from parsed Keras layer configuration dictionary.
KerasPoolHelper(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.custom.KerasPoolHelper
Constructor from parsed Keras layer configuration dictionary.
KerasPooling1D - Class in org.deeplearning4j.nn.modelimport.keras.layers.pooling
Imports a Keras 1D Pooling layer as a DL4J Subsampling layer.
KerasPooling1D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling1D
Constructor from parsed Keras layer configuration dictionary.
KerasPooling1D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling1D
Constructor from parsed Keras layer configuration dictionary.
KerasPooling2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.pooling
Imports a Keras 2D Pooling layer as a DL4J Subsampling layer.
KerasPooling2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling2D
Constructor from parsed Keras layer configuration dictionary.
KerasPooling2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling2D
Constructor from parsed Keras layer configuration dictionary.
KerasPooling3D - Class in org.deeplearning4j.nn.modelimport.keras.layers.pooling
Imports a Keras 3D Pooling layer as a DL4J Subsampling3D layer.
KerasPooling3D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling3D
Constructor from parsed Keras layer configuration dictionary.
KerasPooling3D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPooling3D
Constructor from parsed Keras layer configuration dictionary.
KerasPoolingUtils - Class in org.deeplearning4j.nn.modelimport.keras.layers.pooling
Utility functionality for Keras pooling layers.
KerasPoolingUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPoolingUtils
 
KerasRegularizerUtils - Class in org.deeplearning4j.nn.modelimport.keras.utils
 
KerasRegularizerUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.utils.KerasRegularizerUtils
 
KerasReshape - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Imports Reshape layer from Keras
KerasReshape(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape
Constructor from parsed Keras layer configuration dictionary.
KerasReshape(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasReshape
Constructor from parsed Keras layer configuration dictionary.
KerasRnnUtils - Class in org.deeplearning4j.nn.modelimport.keras.layers.recurrent
Utility functions for Keras RNN layers
KerasRnnUtils() - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasRnnUtils
 
KerasSeparableConvolution2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras separable convolution 2D layer support
KerasSeparableConvolution2D(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D
Pass-through constructor from KerasLayer
KerasSeparableConvolution2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasSeparableConvolution2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D
Constructor from parsed Keras layer configuration dictionary.
KerasSequentialModel - Class in org.deeplearning4j.nn.modelimport.keras
Build DL4J MultiLayerNetwork model from Keras Sequential model configuration.
KerasSequentialModel(KerasModelBuilder) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel
(Recommended) Builder-pattern constructor for Sequential model.
KerasSequentialModel(String, String, Hdf5Archive, String, String, Hdf5Archive, boolean, int[]) - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel
(Not recommended) Constructor for Sequential model from model configuration (JSON or YAML), training configuration (JSON), weights, and "training mode" boolean indicator.
KerasSequentialModel() - Constructor for class org.deeplearning4j.nn.modelimport.keras.KerasSequentialModel
 
KerasSimpleRnn - Class in org.deeplearning4j.nn.modelimport.keras.layers.recurrent
Imports a Keras SimpleRNN layer as a DL4J SimpleRnn layer.
KerasSimpleRnn(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Pass-through constructor from KerasLayer
KerasSimpleRnn(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Constructor from parsed Keras layer configuration dictionary.
KerasSimpleRnn(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Constructor from parsed Keras layer configuration dictionary.
KerasSpaceToDepth - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
 
KerasSpaceToDepth(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSpaceToDepth
Constructor from parsed Keras layer configuration dictionary.
KerasSpaceToDepth(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSpaceToDepth
Constructor from parsed Keras layer configuration dictionary.
KerasSpatialDropout - Class in org.deeplearning4j.nn.modelimport.keras.layers.core
Keras wrapper for DL4J dropout layer with SpatialDropout, works 1D-3D.
KerasSpatialDropout(Integer) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasSpatialDropout
Pass-through constructor from KerasLayer
KerasSpatialDropout(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasSpatialDropout
Constructor from parsed Keras layer configuration dictionary.
KerasSpatialDropout(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasSpatialDropout
Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling1D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras Upsampling1D layer support
KerasUpsampling1D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling1D
Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling1D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling1D
Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras Upsampling2D layer support
KerasUpsampling2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling2D
Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling2D
Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling3D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Keras Upsampling3D layer support
KerasUpsampling3D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling3D
Constructor from parsed Keras layer configuration dictionary.
KerasUpsampling3D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasUpsampling3D
Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding1D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a Keras ZeroPadding 1D layer.
KerasZeroPadding1D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding1D
Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding1D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding1D
Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding2D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a Keras ZeroPadding 2D layer.
KerasZeroPadding2D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding2D
Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding2D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding2D
Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding3D - Class in org.deeplearning4j.nn.modelimport.keras.layers.convolutional
Imports a Keras ZeroPadding 3D layer.
KerasZeroPadding3D(Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding3D
Constructor from parsed Keras layer configuration dictionary.
KerasZeroPadding3D(Map<String, Object>, boolean) - Constructor for class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasZeroPadding3D
Constructor from parsed Keras layer configuration dictionary.
kernelSize(int) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
Size of the convolution
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
Set kernel size for 3D convolutions in (depth, height, width) order
kernelSize - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
Size of the convolution rows/columns
kernelSize - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
Size of the convolution rows/columns
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
Size of the convolution rows/columns
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
Size of the convolution rows/columns
kernelSize(int) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
Kernel size
kernelSize - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
Kernel size
kernelSize - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
kernelSize - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
kernelSize(int...) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
Kernel size
kernelSize - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
keys() - Static method in class org.ansj.library.AmbiguityLibrary
 
keys() - Static method in class org.ansj.library.CrfLibrary
 
keys() - Static method in class org.ansj.library.DicLibrary
 
keys() - Static method in class org.ansj.library.StopLibrary
 
keys() - Static method in class org.ansj.library.SynonymsLibrary
 
keys() - Static method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
KeySequenceConvertFunction - Class in org.deeplearning4j.spark.models.paragraphvectors.functions
 
KeySequenceConvertFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.paragraphvectors.functions.KeySequenceConvertFunction
 
keySet() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Returns a copy of the keys contained in this trie as a Set
keysForBucket(String) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Return the keys for a bucket
Keyword - Class in org.ansj.app.keyword
 
Keyword(String, int, double) - Constructor for class org.ansj.app.keyword.Keyword
 
Keyword(String, double) - Constructor for class org.ansj.app.keyword.Keyword
 
KeyWordComputer<T extends Analysis> - Class in org.ansj.app.keyword
 
KeyWordComputer() - Constructor for class org.ansj.app.keyword.KeyWordComputer
 
KeyWordComputer(int) - Constructor for class org.ansj.app.keyword.KeyWordComputer
返回关键词个数
KeyWordComputer(int, T) - Constructor for class org.ansj.app.keyword.KeyWordComputer
 
KMeansClustering - Class in org.deeplearning4j.clustering.kmeans
 
KMeansClustering(ClusteringStrategy) - Constructor for class org.deeplearning4j.clustering.kmeans.KMeansClustering
 
knn(INDArray, double) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
 
knn(int, int) - Method in class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
Runs knn on the given index with the given k (note that this is for data already within the existing dataset not new data)
knnNew(int, INDArray) - Method in class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
Run a k nearest neighbors search on a NEW data point
KoreanTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Created by kepricon on 16.
KoreanTokenizer(String) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
KoreanTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Created by kepricon on 16.
KoreanTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.KoreanTokenizerFactory
 
kroneckerDelta(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the kronecker delta of two doubles.
KUROMOJI_BIN_ROOT - Static variable in class com.atilika.kuromoji.util.KuromojiBinFilesFetcher
 
KuromojiBinFilesFetcher - Class in com.atilika.kuromoji.util
Created by kepricon on 16.
kuromojiExist() - Static method in class com.atilika.kuromoji.util.KuromojiBinFilesFetcher
 
KV<K,V> - Class in org.ansj.domain
 

L

l1 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l1(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L1 regularization coefficient (weights only).
l1 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l1 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l1(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L1 regularization coefficient (weights only).
l1 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l1 - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l1(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L1 regularization coefficient for the weights.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l1(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L1 regularization coefficient for the weights
l1 - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L1 regularization coefficient for the bias.
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L1 regularization coefficient for the bias.
l1Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l1Bias - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l1Bias(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L1 regularization coefficient for the bias.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l1Bias(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L1 regularization coefficient for the bias parameters
l1Bias - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l1ByParam - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
l2 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l2(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L2 regularization coefficient (weights only).
l2 - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l2 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l2(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L2 regularization coefficient (weights only).
l2 - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l2 - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l2(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L2 regularization coefficient for the weights.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l2(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L2 regularization coefficient for the weights
l2 - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
L2 regularization coefficient for the bias.
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
L2 regularization coefficient for the bias.
l2Bias - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
l2Bias - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
l2Bias(double) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
L2 regularization coefficient for the bias.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
l2Bias(double) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
L2 regularization coefficient for the bias parameters
l2Bias - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
l2ByParam - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
L2NormalizeVertex - Class in org.deeplearning4j.nn.conf.graph
L2NormalizeVertex performs L2 normalization on a single input.
L2NormalizeVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
L2NormalizeVertex(int[], double) - Constructor for class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
L2NormalizeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
L2NormalizeVertex performs L2 normalization on a single input.
L2NormalizeVertex(ComputationGraph, String, int, int[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
L2NormalizeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], int[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
L2Vertex - Class in org.deeplearning4j.nn.conf.graph
L2Vertex calculates the L2 least squares error of two inputs.
L2Vertex() - Constructor for class org.deeplearning4j.nn.conf.graph.L2Vertex
 
L2Vertex(double) - Constructor for class org.deeplearning4j.nn.conf.graph.L2Vertex
 
L2Vertex - Class in org.deeplearning4j.nn.graph.vertex.impl
L2Vertex calculates the L2 least squares error of two inputs.
L2Vertex(ComputationGraph, String, int, double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
L2Vertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
label - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
label() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
LabelAwareConverter - Class in org.deeplearning4j.iterator.provider
Simple class for conversion between LabelAwareIterator -> LabeledSentenceProvider for neural nets.
LabelAwareConverter(LabelAwareIterator, List<String>) - Constructor for class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
LabelAwareDocumentIterator - Interface in org.deeplearning4j.text.documentiterator
Created by agibsonccc on 10/18/14.
LabelAwareFileSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator.labelaware
Label aware sentence iterator
LabelAwareFileSentenceIterator(SentencePreProcessor, File) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
Takes a single file or directory
LabelAwareFileSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareFileSentenceIterator
 
labelAwareIterator - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
labelAwareIterator - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelAwareIterator - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
LabelAwareIterator - Interface in org.deeplearning4j.text.documentiterator
This simple iterator interface assumes, that all documents are packed into strings OR into references to VocabWords.
LabelAwareSentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator.labelaware
SentenceIterator that is aware of its label.
LabelAwareUimaSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator.labelaware
Uima sentence iterator that is aware of the current file
LabelAwareUimaSentenceIterator(SentencePreProcessor, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
 
LabelAwareUimaSentenceIterator(String, AnalysisEngine) - Constructor for class org.deeplearning4j.text.sentenceiterator.labelaware.LabelAwareUimaSentenceIterator
 
LabeledSentenceProvider - Interface in org.deeplearning4j.iterator
LabeledSentenceProvider: a simple iterator interface over sentences/documents that have a label.
This is intended for use with CnnSentenceDataSetIterator
labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
labelIndex - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
labelIndexTo - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
LabelledDocument - Class in org.deeplearning4j.text.documentiterator
This is primitive holder of document, and it's label.
LabelledDocument() - Constructor for class org.deeplearning4j.text.documentiterator.LabelledDocument
 
labelProbabilities(INDArray) - Method in interface org.deeplearning4j.nn.api.Classifier
Returns the probabilities for each label for each example row wise
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Returns the probabilities for each label for each example row wise
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
Returns the probabilities for each label for each example row wise
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
labelProbabilities(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns the probabilities for each label for each example row wise
labels - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
labels(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
labels(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
Deprecated.
labels - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
labels - Variable in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.LossLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
labels - Variable in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
labels - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
labels - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
labels - Variable in class org.deeplearning4j.zoo.util.BaseLabels
 
Labels - Interface in org.deeplearning4j.zoo.util
Interface to helper classes that return label descriptions.
labelsList - Variable in class org.deeplearning4j.eval.Evaluation
 
labelsList - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelsMatrix - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelsProvider - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
labelsProvider - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
LabelsProvider<T extends SequenceElement> - Interface in org.deeplearning4j.text.labels
 
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
labelsSource - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
labelsSource - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
labelsSource(LabelsSource) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method attaches pre-defined labels source to ParagraphVectors
labelsSource - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
labelsSource - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
labelsSource - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
LabelsSource - Class in org.deeplearning4j.text.documentiterator
This class is used to manage labels/documents syncronization over iterators
LabelsSource() - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
 
LabelsSource(String) - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
Build LabelsSource using string template.
LabelsSource(List<String>) - Constructor for class org.deeplearning4j.text.documentiterator.LabelsSource
Build LabelsSource using externally defined list of string labels.
lambbaNoObj(double) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function coefficient for the "no object confidence" components of the loss function.
lambda - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
lambda(double) - Method in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer.Builder
 
lambda - Variable in class org.deeplearning4j.nn.conf.layers.CenterLossOutputLayer
 
lambdaCoord(double) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function coefficient for position and size/scale components of the loss function.
last - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
lastAct - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
lastBatch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
lastBP - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastChecked(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
lastCheckpoint() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Return the most recent checkpoint, if one exists - otherwise returns null
lastChild() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
lastEE - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastES - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastEtlTime - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
lastEtlTime - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
lastEtlTime - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
lastExportedRDDId - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
lastFF - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastIteration - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
lastMemCell - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
lastRDDExportPath - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
lastStep - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
LastTimeStep - Class in org.deeplearning4j.nn.conf.layers.recurrent
LastTimeStep is a "wrapper" layer: it wraps any RNN layer, and extracts out the last time step during forward pass, and returns it as a row vector (per example).
LastTimeStep(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.LastTimeStep
 
LastTimeStepLayer - Class in org.deeplearning4j.nn.layers.recurrent
LastTimeStep is a "wrapper" layer: it wraps any RNN layer, and extracts out the last time step during forward pass, and returns it as a row vector (per example).
LastTimeStepLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
LastTimeStepVertex - Class in org.deeplearning4j.nn.conf.graph.rnn
LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series) activations to 2d activations, by extracting out the last time step of activations for each example.
This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
LastTimeStepVertex(String) - Constructor for class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
LastTimeStepVertex - Class in org.deeplearning4j.nn.graph.vertex.impl.rnn
LastTimeStepVertex is used in the context of recurrent neural network activations, to go from 3d (time series) activations to 2d activations, by extracting out the last time step of activations for each example.
This can be used for example in sequence to sequence architectures, and potentially for sequence classification.
LastTimeStepVertex(ComputationGraph, String, int, String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
LastTimeStepVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
Layer - Interface in org.deeplearning4j.nn.api
Interface for a layer of a neural network.
layer(int, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer, with no InputPreProcessor, with the specified name and specified inputs.
layer(String, Layer, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer, with no InputPreProcessor, with the specified name and specified inputs.
layer(String, Layer, InputPreProcessor, String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Add a layer and an InputPreProcessor, with the specified name and specified inputs.
Layer - Class in org.deeplearning4j.nn.conf.layers
A neural network layer.
Layer(Layer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.Layer
 
layer(Layer) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer.Builder
 
layer - Variable in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
layer - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
layer(Layer) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Layer class.
layer - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
layer(int, Layer) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
layer(Layer) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
layer - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
Layer.Builder<T extends Layer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
Layer.TrainingMode - Enum in org.deeplearning4j.nn.api
 
Layer.Type - Enum in org.deeplearning4j.nn.api
 
layerConf() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
layerConf() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
layerConf() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
LayerConstraint - Interface in org.deeplearning4j.nn.api.layers
 
layerId() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
layerId() - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
layerId() - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
layerId() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
layerIndex - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
layerInputSize(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the input size (number of inputs) for the specified layer.
Note that the meaning of the "input size" can depend on the type of layer.
layerInputSize(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the input size (number of inputs) for the specified layer.
Note that the meaning of the "input size" can depend on the type of layer.
layerInputSize(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Return the input size (number of inputs) for the specified layer.
Note that the meaning of the "input size" can depend on the type of layer.
layerMap - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
LayerMemoryReport - Class in org.deeplearning4j.nn.conf.memory
A MemoryReport Designed to report estimated memory use for a single layer or graph vertex.
LayerMemoryReport(LayerMemoryReport.Builder) - Constructor for class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
LayerMemoryReport.Builder - Class in org.deeplearning4j.nn.conf.memory
 
layerName - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
layerName - Variable in class org.deeplearning4j.nn.conf.layers.Layer
 
layerName - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
layerName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNames() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
layerNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
LayerNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
layerNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
LayerNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
layerNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
layers - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
A list of layers.
layers - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
layers - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
layersByName - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
layerSize() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
layerSize() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
The layer size for the lookup table
layerSize - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
layerSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
layerSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
layerSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines number of dimensions for output vectors
layerSize - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
layerSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines number of dimensions for outcome vectors.
layerSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines number of dimensions for output vectors
layerSize(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the layer size (number of units) for the specified layer.
layerSize(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return the layer size (number of units) for the specified layer.
Note that the meaning of the "layer size" can depend on the type of layer.
layerSize(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Return the layer size (number of units) for the specified layer.
Note that the meaning of the "layer size" can depend on the type of layer.
layerSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
layerSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies output vector's dimensions
layerSize(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
layerSize(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
layersOrdered - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
LayerUpdater - Class in org.deeplearning4j.nn.updater
Updater for a single layer, excluding MultiLayerNetwork (which also implements the Layer interface)
LayerUpdater(Layer) - Constructor for class org.deeplearning4j.nn.updater.LayerUpdater
 
LayerUpdater(Layer, INDArray) - Constructor for class org.deeplearning4j.nn.updater.LayerUpdater
 
LayerValidation - Class in org.deeplearning4j.nn.conf.layers
Created by Alex on 22/02/2017.
LayerValidation() - Constructor for class org.deeplearning4j.nn.conf.layers.LayerValidation
 
LayerVertex - Class in org.deeplearning4j.nn.conf.graph
LayerVertex is a GraphVertex with a neural network Layer (and, optionally an InputPreProcessor) in it
LayerVertex(NeuralNetConfiguration, InputPreProcessor) - Constructor for class org.deeplearning4j.nn.conf.graph.LayerVertex
 
LayerVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
LayerVertex is a GraphVertex with a neural network Layer (and, optionally an InputPreProcessor) in it
LayerVertex(ComputationGraph, String, int, Layer, InputPreProcessor, boolean) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
Create a network input vertex:
LayerVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], Layer, InputPreProcessor, boolean) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
layerWiseConfigurations - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
LayerWorkspaceMgr - Class in org.deeplearning4j.nn.workspace
WorkspaceMgr for DL4J layers.
LayerWorkspaceMgr(Set<ArrayType>, Map<ArrayType, WorkspaceConfiguration>, Map<ArrayType, String>) - Constructor for class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
LayerWorkspaceMgr.Builder - Class in org.deeplearning4j.nn.workspace
 
LBFGS - Class in org.deeplearning4j.optimize.solvers
LBFGS
LBFGS(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.LBFGS
 
LBFGS(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Collection<TerminationCondition>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.LBFGS
 
learn(Graph, SplitWord, Forest...) - Method in class org.ansj.dic.LearnTool
公司名称学习.
learningRate(double) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Set the learning rate
learningRate - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
learningRate - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
learningRate(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Initial learning rate; default 0.05
learningRate - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
learningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
learningRate(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
learningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
learningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines initial learning rate for model training
learningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
learningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines initial learning rate.
learningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines initial learning rate for model training
learningRate(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
learningRate - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
learningRate - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
learningRate(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
learningRate - Variable in class org.deeplearning4j.plot.Tsne
 
learningRate - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
learningRate(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies initial learning rate for model
learningRate() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRate(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRateDecayWords - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
learningRateDecayWords - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
learningRateId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRateMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRateNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
learningRateNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
learningRatesPresent() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
learningRatesPresent(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
This method does training over the sequence of elements passed into it
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
Learns sequence using GloVe algorithm
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
Learns sequence using SkipGram algorithm
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
learnSequence(Sequence<T>, AtomicLong, double) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
This method does training over the sequence of elements passed into it
learnSequence(Sequence<ShallowSequenceElement>, AtomicLong, double) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
LearnTool - Class in org.ansj.dic
新词发现,这是个线程安全的.所以可以多个对象公用一个
LearnTool() - Constructor for class org.ansj.dic.LearnTool
 
LEFT_ID - Static variable in class com.atilika.kuromoji.dict.DictionaryField
 
leftId - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
leftId(short) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
legacyAveraging - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
legacyAveraging - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
LegacyDistributionDeserializer - Class in org.deeplearning4j.nn.conf.distribution.serde
Jackson Json deserializer to handle legacy format for distributions.
Now, we use 'type' field which contains class information.
Previously, we used wrapper objects for type information instead (see TestDistributionDeserializer for examples)
LegacyDistributionDeserializer() - Constructor for class org.deeplearning4j.nn.conf.distribution.serde.LegacyDistributionDeserializer
 
LegacyDistributionHelper - Class in org.deeplearning4j.nn.conf.distribution.serde
A dummy helper "distribution" for deserializing distributions in legacy/different JSON format.
LegacyGraphVertexDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for GraphVertex JSON in legacy format - see BaseLegacyDeserializer
LegacyGraphVertexDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
LegacyGraphVertexDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyGraphVertexDeserializer via annotation on GraphVertex
LegacyIntArrayDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserialize either an int[] to an int[], or a single int x to int[]{x,x} Used when supporting a configuration format change from single int value to int[], as for Upsampling2D between 1.0.0-alpha and 1.0.0-beta
LegacyIntArrayDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyIntArrayDeserializer
 
LegacyLayerDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for Layer JSON in legacy format - see BaseLegacyDeserializer
LegacyLayerDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
LegacyLayerDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyLayerDeserializer via annotation on Layer
LegacyPreprocessorDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for InputPreProcessor JSON in legacy format - see BaseLegacyDeserializer
LegacyPreprocessorDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
LegacyPreprocessorDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyPreprocessorDeserializer via annotation on InputPreProcessor
LegacyReconstructionDistributionDeserializer - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Deserializer for ReconstructionDistribution JSON in legacy format - see BaseLegacyDeserializer
LegacyReconstructionDistributionDeserializer() - Constructor for class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
LegacyReconstructionDistributionDeserializerHelper - Class in org.deeplearning4j.nn.conf.serde.legacyformat
Simple helper class to redirect legacy JSON format to LegacyReconstructionDistributionDeserializer via annotation on ReconstructionDistribution
len - Variable in class org.ansj.app.crf.pojo.Element
 
LeNet - Class in org.deeplearning4j.zoo.model
LeNet was an early promising achiever on the ImageNet dataset.
length(byte[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(byte[][]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(byte[][][]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(String) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length(String[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
length() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
length(long) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
lengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
lengthMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
lengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
lengthMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
lengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
lengthNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
LengthUnit - Enum in org.deeplearning4j.ui.api
LengthUnit: an enum for specifying units for things such as width and height
LESS - Static variable in class org.deeplearning4j.clustering.kdtree.KDTree
 
leverageTo(String) - Method in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
This method is OPTIONAL, and written mostly for future use
leverageTo(ArrayType, INDArray) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
LFWDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
 
LFWDataSetIterator(int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads subset of images with given imgDim returned by the generator.
LFWDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples returned by the generator.
LFWDataSetIterator(int, int, int[]) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim returned by the generator.
LFWDataSetIterator(int, int[], boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, imgDim, useSubset, returned by the generator.
LFWDataSetIterator(int, int, int[], boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int, boolean, double) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, numLabels, train, & splitTrainTest returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Loads images with given batchSize, numExamples, imgDim, numLabels, useSubset, train, splitTrainTest & Random returned by the generator.
LFWDataSetIterator(int, int, int[], int, boolean, PathLabelGenerator, boolean, double, ImageTransform, Random) - Constructor for class org.deeplearning4j.datasets.iterator.impl.LFWDataSetIterator
Create LFW data specific iterator
LibraryException - Exception in org.ansj.exception
 
LibraryException(Exception) - Constructor for exception org.ansj.exception.LibraryException
 
LibraryException(String) - Constructor for exception org.ansj.exception.LibraryException
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
limit - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
limit() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
limit(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
limitVocabularySize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method sets vocabulary limit during construction.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method sets vocabulary limit during construction.
limitVocabularySize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method sets vocabulary limit during construction.
LineGradientDescent - Class in org.deeplearning4j.optimize.solvers
Stochastic Gradient Descent with Line Search
LineGradientDescent(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.LineGradientDescent
 
LineGradientDescent(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Collection<TerminationCondition>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.LineGradientDescent
 
lineMaximizer - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
LineOptimizer - Interface in org.deeplearning4j.optimize.api
Line optimizer interface adapted from mallet
LineSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Each line is a sentence
LineSentenceIterator(File) - Constructor for class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
list - Variable in class org.deeplearning4j.clustering.vptree.VPTree.NodeBuilder
 
list - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
list() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Create a ListBuilder (for creating a MultiLayerConfiguration)
Usage:
list(Layer...) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Create a ListBuilder (for creating a MultiLayerConfiguration) with the specified layers
Usage:
listActiveClusterIds() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
List existing active cluster IDs
listActiveClusterNames() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Lists existing active clusters Names
ListBuilder(NeuralNetConfiguration.Builder, Map<Integer, NeuralNetConfiguration.Builder>) - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
ListBuilder(NeuralNetConfiguration.Builder) - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
ListDataSetIterator<T extends org.nd4j.linalg.dataset.DataSet> - Class in org.deeplearning4j.datasets.iterator.impl
Wraps a data applyTransformToDestination collection
ListDataSetIterator(Collection<T>, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
ListDataSetIterator(Collection<T>) - Constructor for class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
Initializes with a batch of 5
listener(TrainingListener...) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
ListenerEvent - Enum in org.deeplearning4j.models.sequencevectors.enums
This enum defines possible events, when specific VectorsListener will be fired
listeners - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
listeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
listeners - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
listeners - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
listeners - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listObjects(String) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Simple way of retrieving the listings for a bucket
listObjectsInFile(File) - Static method in class org.deeplearning4j.util.ModelSerializer
List the keys of all objects added using the method ModelSerializer.addObjectToFile(File, String, Object)
listPaths(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.SparkUtils
List of the files in the given directory (path), as a JavaRDD<String>
listPaths(JavaSparkContext, String, boolean) - Static method in class org.deeplearning4j.spark.util.SparkUtils
List of the files in the given directory (path), as a JavaRDD<String>
ListSequenceConvertFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
Simple function to convert List to Sequence
ListSequenceConvertFunction() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.ListSequenceConvertFunction
 
listSessionIDs() - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get a list of all sessions stored by this storage backend
listSessionIDs() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listSessionIDs() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
listToArray(List<Byte>) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
listToArray(List<Integer>, int) - Static method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
listTypeIDsForSession(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Get the list of type IDs for the given session ID
listTypeIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listTypeIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
listWorkerIDsForSession(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
For a given session ID, list all of the known worker IDs
listWorkerIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listWorkerIDsForSession(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
listWorkerIDsForSessionAndType(String, String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
For a given session ID and type ID, list all of the known worker IDs
listWorkerIDsForSessionAndType(String, String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
listWorkerIDsForSessionAndType(String, String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
load(String) - Static method in class org.ansj.app.crf.Model
模型读取
load(Class<? extends Model>, InputStream) - Static method in class org.ansj.app.crf.Model
模型读取
load(File) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
load(File) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
load(File) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
load(InputStream, VocabCache<? extends SequenceElement>) - Static method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
Load a glove model from an input stream.
load(InputStream) - Static method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Load a look up cache from an input stream delimited by \n
load(File, boolean) - Static method in class org.deeplearning4j.nn.graph.ComputationGraph
Restore a ComputationGraph to a file, saved using ComputationGraph.save(File) or ModelSerializer
load(File, boolean) - Static method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Restore a MultiLayerNetwork to a file, saved using MultiLayerNetwork.save(File) or ModelSerializer
load(T) - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
load(String) - Method in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
load(PortableDataStream) - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
loadCheckpointCG(Checkpoint) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a ComputationGraph for the given checkpoint
loadCheckpointCG(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a ComputationGraph for the given checkpoint
loadCheckpointMLN(Checkpoint) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a MultiLayerNetwork for the given checkpoint
loadCheckpointMLN(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
Load a MultiLayerNetwork for the given checkpoint number
loadCodes(int[]) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Loads the co-occurrences for the given codes
loadCodes(int[]) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Loads the co-occurrences for the given codes
loadConfigGuess(String) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given file path
loadConfigGuess(InputStream) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given input stream
loadDictionaries() - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
 
loadDictionaries() - Method in class com.atilika.kuromoji.TokenizerBase.Builder
 
loader - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Load a single example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Load a multiple examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
Load a single example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Load a single sequence example to a DataSet, using the provided RecordMetaData.
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Load a multiple sequence examples to a DataSet, using the provided RecordMetaData instances.
loadFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
loadFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
loadFullModel(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
loadGraph(String, EdgeLineProcessor<E>, VertexFactory<V>, int, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Load a graph into memory, using a given EdgeLineProcessor.
loadGraph(String, String, VertexLoader<V>, EdgeLineProcessor<E>, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Load graph, assuming vertices are in one file and edges are in another file.
loadIris(int, int) - Static method in class org.deeplearning4j.base.IrisUtils
 
loadModel(String) - Method in class org.ansj.app.crf.model.CRFModel
 
loadModel(InputStream) - Method in class org.ansj.app.crf.model.CRFModel
 
loadModel(String) - Method in class org.ansj.app.crf.model.CRFppTxtModel
解析crf++生成的可可视txt文件
loadModel(InputStream) - Method in class org.ansj.app.crf.model.CRFppTxtModel
 
loadModel(String) - Method in class org.ansj.app.crf.Model
不同的模型实现自己的加载模型类
loadModel(InputStream) - Method in class org.ansj.app.crf.Model
 
loadModel(String) - Method in class org.ansj.app.crf.model.WapitiCRFModel
 
loadModel(InputStream) - Method in class org.ansj.app.crf.model.WapitiCRFModel
 
loadModelGuess(String) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given file path
loadModelGuess(InputStream) - Static method in class org.deeplearning4j.util.ModelGuesser
Load the model from the given input stream
loadModelGuess(InputStream, File) - Static method in class org.deeplearning4j.util.ModelGuesser
Deprecated.
loadNormalizer(InputStream) - Static method in class org.deeplearning4j.util.ModelGuesser
loadNormalizer(String) - Static method in class org.deeplearning4j.util.ModelGuesser
loadSequenceFromMetaData(RecordMetaData) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
loadSequenceFromMetaData(List<RecordMetaData>) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
LoadSerializedDataSetFunction - Class in org.deeplearning4j.spark.impl.common
This is a function that is used to load a DataSet object using DataSet.load(InputStream).
LoadSerializedDataSetFunction() - Constructor for class org.deeplearning4j.spark.impl.common.LoadSerializedDataSetFunction
 
loadSingleSentence(String) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
Generally used post training time to load a single sentence for predictions
loadStaticModel(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores previously saved w2v model.
loadTxt(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Loads an in memory cache from the given path (sets syn0 and the vocab)
loadTxtVectors(File) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer
 
loadTxtVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
loadTxtVectors(InputStream, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
loadUndirectedGraphEdgeListFile(String, int, String) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Simple method for loading an undirected graph, where the graph is represented by a edge list with one edge per line with a delimiter in between
This method assumes that all lines in the file are of the form i<delim>j where i and j are integers in range 0 to numVertices inclusive, and "" is the user-provided delimiter Note: this method calls GraphLoader.loadUndirectedGraphEdgeListFile(String, int, String, boolean) with allowMultipleEdges = true.
loadUndirectedGraphEdgeListFile(String, int, String, boolean) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Simple method for loading an undirected graph, where the graph is represented by a edge list with one edge per line with a delimiter in between
This method assumes that all lines in the file are of the form i<delim>j where i and j are integers in range 0 to numVertices inclusive, and "" is the user-provided delimiter
loadVertices(String) - Method in class org.deeplearning4j.graph.data.impl.DelimitedVertexLoader
 
loadVertices(String) - Method in interface org.deeplearning4j.graph.data.VertexLoader
 
loadVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Deserialize vocabulary from specified path
loadVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
loadVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Load vocab
loadWeightedEdgeListFile(String, int, String, boolean, String...) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Method for loading a weighted graph from an edge list file, where each edge (inc.
loadWeightedEdgeListFile(String, int, String, boolean, boolean, String...) - Static method in class org.deeplearning4j.graph.data.GraphLoader
Method for loading a weighted graph from an edge list file, where each edge (inc.
LOCAL_CACHE - Variable in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.base.EmnistFetcher
 
LOCAL_DIR_NAME - Static variable in class org.deeplearning4j.base.MnistFetcher
 
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
localCacheName() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
LocalFileGraphSaver - Class in org.deeplearning4j.earlystopping.saver
Save the best (and latest/most recent) ComputationGraphs learned during early stopping training to the local file system.
Instances of this class will save 3 files for best (and optionally, latest) models:
(a) The network configuration: bestGraphConf.json
(b) The network parameters: bestGraphParams.bin
(c) The network updater: bestGraphUpdater.bin

NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum and RMSProp.
The updater is not required to use the network at test time; it is saved in case further training is required.
LocalFileGraphSaver(String) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
Constructor that uses default character set for configuration (json) encoding
LocalFileGraphSaver(String, Charset) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
LocalFileModelSaver - Class in org.deeplearning4j.earlystopping.saver
Save the best (and latest/most recent) models learned during early stopping training to the local file system.
Instances of this class will save 3 files for best (and optionally, latest) models:
(a) The network configuration: bestModelConf.json
(b) The network parameters: bestModelParams.bin
(c) The network updater: bestModelUpdater.bin

NOTE: The model updater is an object that contains the internal state for training features such as AdaGrad, Momentum and RMSProp.
The updater is not required to use the network at test time; it is saved in case further training is required.
LocalFileModelSaver(String) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
Constructor that uses default character set for configuration (json) encoding
LocalFileModelSaver(String, Charset) - Constructor for class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
LocalHandler - Class in org.deeplearning4j.optimize.solvers.accumulation
MessageHandler implementation suited for ParallelWrapper running on single box PLEASE NOTE: This handler does NOT provide any network connectivity.
LocalHandler() - Constructor for class org.deeplearning4j.optimize.solvers.accumulation.LocalHandler
 
localIp - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
LocalResponseNormalization - Class in org.deeplearning4j.nn.conf.layers
Created by nyghtowl on 10/29/15.
LocalResponseNormalization - Class in org.deeplearning4j.nn.layers.normalization
Deep neural net normalization approach normalizes activations between layers "brightness normalization" Used for nets like AlexNet
LocalResponseNormalization(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
LocalResponseNormalization(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
LocalResponseNormalization.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LocalResponseNormalizationHelper - Interface in org.deeplearning4j.nn.layers.normalization
Helper for the local response normalization layer.
LocalUnstructuredDataFormatter - Class in org.deeplearning4j.datasets.rearrange
Rearrange an unstructured dataset in to split test/train on the file system
LocalUnstructuredDataFormatter(File, File, LocalUnstructuredDataFormatter.LabelingType, double) - Constructor for class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
LocalUnstructuredDataFormatter.LabelingType - Enum in org.deeplearning4j.datasets.rearrange
 
lock - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
lock - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
lockGammaBeta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
 
lockGammaBeta(boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
If set to true: lock the gamma and beta parameters to the values for each activation, specified by BatchNormalization.Builder.gamma(double) and BatchNormalization.Builder.beta(double).
lockGammaBeta - Variable in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
locks - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
log - Static variable in class com.atilika.kuromoji.util.FileResourceResolver
 
LOG - Static variable in class org.ansj.util.MyStaticValue
 
log - Static variable in class org.deeplearning4j.base.MnistFetcher
 
log - Static variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
log - Static variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
log - Static variable in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor
 
log - Static variable in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
log - Static variable in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
log - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
log - Static variable in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
log - Static variable in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
log - Static variable in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
 
log2 - Static variable in class org.deeplearning4j.clustering.util.MathUtils
The natural logarithm of 2.
log2(double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns the logarithm of a for base 2.
logAggregateStartTime() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logAggregationEndTime() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logBroadcastEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logBroadcastGetValueEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logBroadcastGetValueStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logBroadcastStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logCountEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logCountStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logExportEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logExportStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logFitEnd(int) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logFitEnd(int) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logFitStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logFitStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logger - Static variable in class org.ansj.app.crf.Model
 
logger - Static variable in class org.ansj.recognition.arrimpl.UserDefineRecognition
 
logger - Static variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
logger - Static variable in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
logger - Static variable in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
Deprecated.
 
logger - Static variable in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
 
logger - Static variable in class org.deeplearning4j.plot.Tsne
 
logger - Variable in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
logInitEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
logInitialModelAfter() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logInitialModelBefore() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logMapPartitionsEnd(int) - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logMapPartitionsStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logMethodStartTime() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logNextDataSetAfter(int) - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logNextDataSetBefore() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
LogNormalDistribution - Class in org.deeplearning4j.nn.conf.distribution
A log-normal distribution.
LogNormalDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
Create a log-normal distribution with the given mean and std
logProb - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
logProcessMinibatchAfter() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logProcessMinibatchBefore() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logProcessParamsUpdaterEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logProcessParamsUpdaterStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logRepartitionEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logRepartitionStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logReturnTime() - Method in class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
logs2probs(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Converts an array containing the natural logarithms of probabilities stored in a vector back into probabilities.
logSaving(boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
If true (the default) log a message every time a model is saved
logSplitEnd() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logSplitStart() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
logTestMode(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
logTestMode(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
logTestMode(boolean) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
logTestMode(Layer.TrainingMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
lookUp(int) - Method in class com.atilika.kuromoji.buffer.WordIdMap
 
lookup(String) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
Match input keyword.
lookup(String, int, int) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
lookupCategories(char) - Method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
lookupDefinition(int) - Method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
lookupEntry(int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupFeature(int, int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupPartOfSpeechFeature(int, int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupTable() - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
lookupTable - Variable in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
lookupTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
lookupTable - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
lookupTable - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
lookupTable() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Lookup table for the vectors
lookupTable - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
lookupTable() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
lookupTable(WeightLookupTable<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows to define external WeightLookupTable to be used
lookupTable - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
lookupTable(WeightLookupTable<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
You can pass externally built WeightLookupTable, containing model weights and vocabulary.
lookupTable() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Lookup table for the vectors PLEASE NOTE: This method is not available in this implementation.
lookupTable(WeightLookupTable<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows to define external WeightLookupTable to be used
lookupTable - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
lookupTokenInfo(int, int) - Method in class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
lookupWordIds(int) - Method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
lookupWordIds(int) - Method in class com.atilika.kuromoji.dict.UnknownDictionary
 
lossClassPredictions(ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function for the class predictions - defaults to L2 loss (i.e., sum of squared errors, as per the paper), however Loss MCXENT could also be used (which is more common for classification).
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.LossLayer
 
lossFn - Variable in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
lossFunction(ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.BaseOutputLayer.Builder
 
lossFunction - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
lossFunction(LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
lossFunction - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
lossFunction(IActivation, LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Configure the VAE to use the specified loss function for the reconstruction, instead of a ReconstructionDistribution.
lossFunction(Activation, LossFunctions.LossFunction) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Configure the VAE to use the specified loss function for the reconstruction, instead of a ReconstructionDistribution.
lossFunction(IActivation, ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Configure the VAE to use the specified loss function for the reconstruction, instead of a ReconstructionDistribution.
LossFunctionWrapper - Class in org.deeplearning4j.nn.conf.layers.variational
LossFunctionWrapper allows training of a VAE model with a standard (possibly deterministic) neural network loss function for the reconstruction, instead of using a ReconstructionDistribution as would normally be done with a VAE model.
LossFunctionWrapper(IActivation, ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
LossFunctionWrapper(Activation, ILossFunction) - Constructor for class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
LossLayer - Class in org.deeplearning4j.nn.conf.layers
LossLayer is a flexible output "layer" that performs a loss function on an input without MLP logic.
LossLayer(LossLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.LossLayer
 
LossLayer - Class in org.deeplearning4j.nn.layers
LossLayer is a flexible output "layer" that performs a loss function on an input without MLP logic.
LossLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.LossLayer
 
LossLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.LossLayer
 
LossLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
lossPositionScale(ILossFunction) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer.Builder
Loss function for position/scale component of the loss function
LowCasePreProcessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
 
LowCasePreProcessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.LowCasePreProcessor
 
lr - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
lr(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
Deprecated.
lr - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
lr(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
lr(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
LSH - Interface in org.deeplearning4j.clustering.lsh
This interface gathers the minimal elements for an LSH implementation See chapter 3 of : _Mining Massive Datasets_, Anand Rajaraman and Jeffrey Ullman http://www.mmds.org/
LSTM - Class in org.deeplearning4j.nn.conf.layers
LSTM recurrent net without peephole connections.
LSTM - Class in org.deeplearning4j.nn.layers.recurrent
LSTM layer implementation.
LSTM(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.LSTM
 
LSTM(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.LSTM
 
LSTM.Builder - Class in org.deeplearning4j.nn.conf.layers
 
LSTMHelper - Interface in org.deeplearning4j.nn.layers.recurrent
Helper for the recurrent LSTM layer (no peephole connections).
LSTMHelpers - Class in org.deeplearning4j.nn.layers.recurrent
RNN tutorial: http://deeplearning4j.org/usingrnns.html READ THIS FIRST if you want to understand what the heck is happening here.
LSTMParamInitializer - Class in org.deeplearning4j.nn.params
LSTM Parameter initializer, for LSTM based on Graves: Supervised Sequence Labelling with Recurrent Neural Networks http://www.cs.toronto.edu/~graves/phd.pdf
LSTMParamInitializer() - Constructor for class org.deeplearning4j.nn.params.LSTMParamInitializer
 
lt(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
lteq(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 

M

M - Static variable in class org.ansj.app.crf.Config
 
M - Static variable in class org.ansj.domain.TermNature
系统内置的几个
M - Static variable in class org.ansj.domain.TermNatures
 
machineId - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 
MagicQueue<T> - Class in org.deeplearning4j.parallelism
Deprecated.
MagicQueue(int, int, MagicQueue.Type) - Constructor for class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
MagicQueue.Builder - Class in org.deeplearning4j.parallelism
Deprecated.
 
MagicQueue.Mode - Enum in org.deeplearning4j.parallelism
Deprecated.
 
MagicQueue.Type - Enum in org.deeplearning4j.parallelism
Deprecated.
 
main(String[]) - Static method in class com.atilika.kuromoji.ipadic.compile.DictionaryCompiler
 
main(String[]) - Static method in class org.ansj.app.crf.MakeTrainFile
 
main(String[]) - Static method in class org.ansj.util.MathUtil
 
main(String[]) - Static method in class org.deeplearning4j.aws.ec2.provision.ClusterSetup
 
main(String[]) - Static method in class org.deeplearning4j.aws.ec2.provision.DistributedDeepLearningTrainer
 
main(String[]) - Static method in class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
 
main(String[]) - Static method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain
 
main(String[]) - Static method in class org.deeplearning4j.perf.listener.SystemInfoTest
The main method.
main(String[]) - Static method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
main(String[]) - Static method in class org.deeplearning4j.ui.play.PlayUIServer
 
makeCategoryReferences() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
makeCharacterCategoryMap() - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
makeCosts() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
makeFeatureArr(List<Element>, int) - Method in class org.ansj.app.crf.Config
得到一个位置的所有特征
makeFeatures() - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
makeIndex(INDArray) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Populates the index with data vectors.
makeIndex(INDArray) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
Populates the index.
makeNewTerm() - Method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
makeNewTermNum(Term, Term, TermNatures) - Static method in class org.ansj.util.TermUtil
将两个term合并为一个全新的term
makeTable(int, double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
makeTable(int, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.NegativeHolder
 
makeToElementList(String, String) - Static method in class org.ansj.app.crf.Config
 
makeToElementList(String) - Method in class org.ansj.app.crf.Config
 
MakeTrainFile - Class in org.ansj.app.crf
生成crf 或者是 wapiti的训练语聊工具.
MakeTrainFile() - Constructor for class org.ansj.app.crf.MakeTrainFile
 
man - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
manhattanDistance(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will calculate the Manhattan distance between two sets of points.
mapActivation(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasActivationUtils
Map Keras to DL4J activation functions.
mapConstraint(String, KerasLayerConfiguration, Map<String, Object>) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasConstraintUtils
Map Keras to DL4J constraint.
MapDBStatsStorage - Class in org.deeplearning4j.ui.storage.mapdb
An implementation of the StatsStorage interface, backed by MapDB (in-memory or file).
See also InMemoryStatsStorage and FileStatsStorage
MapDBStatsStorage() - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
MapDBStatsStorage(File) - Constructor for class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
MapDBStatsStorage.Builder - Class in org.deeplearning4j.ui.storage.mapdb
 
mapFeatures(List<String>) - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
mapLossFunction(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasLossUtils
Map Keras to DL4J loss functions.
mapper() - Static method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
mapper() - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Object mapper for serialization of configurations
MapPerPartitionVoidFunction - Class in org.deeplearning4j.spark.text.functions
 
MapPerPartitionVoidFunction() - Constructor for class org.deeplearning4j.spark.text.functions.MapPerPartitionVoidFunction
 
mapperYaml() - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Object mapper for serialization of configurations
mapPoolingDimensions(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPoolingUtils
Map Keras pooling layers to DL4J pooling dimensions.
mapPoolingType(String, KerasLayerConfiguration) - Static method in class org.deeplearning4j.nn.modelimport.keras.layers.pooling.KerasPoolingUtils
Map Keras pooling layers to DL4J pooling types.
mapRRMDSI(JavaRDD<List<Writable>>, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
Apply a single reader RecordReaderMultiDataSetIterator to a JavaRDD<List<Writable>>.
mapRRMDSI(List<JavaRDD<List<Writable>>>, List<JavaRDD<List<List<Writable>>>>, int[], int[], boolean, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
Apply to an arbitrary mix of non-sequence and sequence data, in the form of JavaRDD<List<Writable>> and JavaRDD<List<List<Writable>>>.
Note: this method performs a join by key.
mapRRMDSIRecords(JavaRDD<DataVecRecords>, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
 
mapRRMDSISeq(JavaRDD<List<List<Writable>>>, RecordReaderMultiDataSetIterator) - Static method in class org.deeplearning4j.spark.datavec.iterator.IteratorUtils
Apply a single sequence reader RecordReaderMultiDataSetIterator to sequence data, in the form of JavaRDD<List<List<Writable>>>.
MapToPairFunction - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
MapToPairFunction() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.MapToPairFunction
 
MapTupleToPairFlatMap<T,U> - Class in org.deeplearning4j.spark.impl.common.repartition
This is a simple function used to convert a JavaRDD<Tuple2<T,U>> to a JavaPairRDD<T,U> via a {JavaRDD.mappartitionsToPair()} call.
MapTupleToPairFlatMap() - Constructor for class org.deeplearning4j.spark.impl.common.repartition.MapTupleToPairFlatMap
 
mapWeightInitialization(String, KerasLayerConfiguration, Map<String, Object>, int) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasInitilizationUtils
Map Keras to DL4J weight initialization functions.
margin(LengthUnit, Integer, Integer, Integer, Integer) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
margin(LengthUnit, Double, Double, Double, Double) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
marginBottom - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginBottom - Variable in class org.deeplearning4j.ui.api.Style
 
marginLeft - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginLeft - Variable in class org.deeplearning4j.ui.api.Style
 
marginRight - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginRight - Variable in class org.deeplearning4j.ui.api.Style
 
marginTop - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginTop - Variable in class org.deeplearning4j.ui.api.Style
 
marginUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
marginUnit - Variable in class org.deeplearning4j.ui.api.Style
 
markAsLabel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method specifies, whether this element should be treated as label for some sequence/document or not.
mask - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
maskArray - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
maskArray - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
maskedPoolingConvolution(PoolingType, INDArray, INDArray, boolean, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
maskedPoolingEpsilonCnn(PoolingType, INDArray, INDArray, INDArray, boolean, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
maskedPoolingEpsilonTimeSeries(PoolingType, INDArray, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
maskedPoolingTimeSeries(PoolingType, INDArray, INDArray, int) - Static method in class org.deeplearning4j.util.MaskedReductionUtil
 
MaskedReductionUtil - Class in org.deeplearning4j.util
This is a TEMPORARY class for implementing global pooling with masking.
MaskLayer - Class in org.deeplearning4j.nn.conf.layers.util
MaskLayer applies the mask array to the forward pass activations, and backward pass gradients, passing through this layer.
MaskLayer() - Constructor for class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
MaskLayer - Class in org.deeplearning4j.nn.layers.util
MaskLayer applies the mask array to the forward pass activations, and backward pass gradients, passing through this layer.
MaskLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.util.MaskLayer
 
maskShape - Variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
MaskState - Enum in org.deeplearning4j.nn.api
MaskState: specifies whether a mask should be applied or not.
maskState - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
MaskZeroLayer - Class in org.deeplearning4j.nn.conf.layers.util
 
MaskZeroLayer(Layer) - Constructor for class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
MaskZeroLayer - Class in org.deeplearning4j.nn.layers.recurrent
Masks timesteps with 0 activation.
MaskZeroLayer(Layer) - Constructor for class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
matchesAnyStopWord(List<String>, String) - Static method in class org.deeplearning4j.text.movingwindow.Util
 
MathUtil - Class in org.ansj.util
 
MathUtil() - Constructor for class org.ansj.util.MathUtil
 
MathUtils - Class in org.deeplearning4j.clustering.util
This is a math utils class.
MathUtils() - Constructor for class org.deeplearning4j.clustering.util.MathUtils
 
MatrixUtil - Class in org.ansj.util
 
MatrixUtil() - Constructor for class org.ansj.util.MatrixUtil
 
matthewsCorrelation(int) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the binary Mathews correlation coefficient, for the specified class.
MCC = (TP*TN - FP*FN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))
matthewsCorrelation(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average binary Mathews correlation coefficient, using macro or micro averaging.
MCC = (TP*TN - FP*FN) / sqrt((TP+FP)(TP+FN)(TN+FP)(TN+FN))
Note: This is NOT the same as the multi-class Matthews correlation coefficient
matthewsCorrelation(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Calculate the Matthews correlation coefficient for the specified output
matthewsCorrelation(long, long, long, long) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the binary Matthews correlation coefficient from counts
max(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
max(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
MAX_CODE_LENGTH - Variable in class org.deeplearning4j.models.word2vec.Huffman
 
MAX_COUNT - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
MAX_EXP - Static variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
MAX_EXP - Static variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
MAX_QUERY_RETRIES - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
maxBatchesPerWorker - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
maxCount(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
maxCount(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
MaxEpochsTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training if the number of epochs exceeds the maximum number of epochs
MaxEpochsTerminationCondition(int) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
maxFrom(Model, Element) - Method in class org.ansj.app.crf.pojo.Element
 
maxIndex(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns index of maximum element in a given array of doubles.
maxIter - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
maxIter - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
maxIter - Variable in class org.deeplearning4j.plot.Tsne
 
maxmemory - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
maxMemory(int) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
This method allows you to specify maximum memory available for CoOccurrence map builder.
maxmemory - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
 
maxmemory - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
maxMemory(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
This method allows you to specify maximum memory available for CoOccurrence map builder.
maxMemory(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method allows you to specify maximum memory available for CoOccurrence map builder.
MaxNormConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the maximum L2 norm of the incoming weights for each unit to be less than or equal to the specified value.
MaxNormConstraint(double, Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint
 
MaxNormConstraint(double, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MaxNormConstraint
Apply to weights but not biases by default
maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
maxNumBatches(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Optional argument, usually not used.
maxNumBatches - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
maxNumLineSearchIterations(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Maximum number of line search iterations.
maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
maxNumLineSearchIterations(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
maxNumLineSearchIterations - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
maxOutcomeForRow(int) - Method in class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
Get the max index for the given row
maxOutcomes() - Method in class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
 
MaxPerPartitionAccumulator - Class in org.deeplearning4j.spark.text.accumulators
 
MaxPerPartitionAccumulator() - Constructor for class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
maxPool3x3(int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
maxPoolNxN(int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
MaxScoreIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Iteration termination condition for terminating training if the minibatch score exceeds a certain value.
MaxScoreIterationTerminationCondition(double) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
maxSentenceLength(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Maximum sentence/document length.
MaxTimeIterationTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training based on max time.
MaxTimeIterationTerminationCondition(long, TimeUnit) - Constructor for class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
maxValue() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValue(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
maxValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
maxVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
mds - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
mdsIterator - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
mdsIterator - Variable in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
mean(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Computes the mean for an array of doubles.
meanAbsoluteError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
meanActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanMagnitudeUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanMagnitudeUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
meanSquaredError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
meanUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
meanUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
memCellActivations - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
memCellState - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
memory_threshold - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
memoryBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytes(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryBytesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryBytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryBytesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryParameters(long, int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method allows to define buffer memory parameters for this GradientsAccumulator Default values: 100MB initialMemory, 5 queueSize
MemoryReport - Class in org.deeplearning4j.nn.conf.memory
A MemoryReport is designed to represent the estimated memory usage of a model, as a function of:
- Training vs.
MemoryReport() - Constructor for class org.deeplearning4j.nn.conf.memory.MemoryReport
 
MemoryType - Enum in org.deeplearning4j.nn.conf.memory
Type of memory
MemoryType - Enum in org.deeplearning4j.ui.stats.sbe
 
memoryType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryType(MemoryType) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryTypeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryTypeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryUse() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
memoryUse() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
memoryUse(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
memoryUseCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
MemoryUseDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
memoryUseDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
MemoryUseEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
memoryUseId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
MemoryUseMode - Enum in org.deeplearning4j.nn.conf.memory
This simple enumeration defines the memory is used during inference or training.
merage(Term) - Method in class org.ansj.domain.Term
进行term合并
merageWithBlank(Term) - Method in class org.ansj.domain.Term
进行term合并,能合并空白字符
merge(List<T>) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
merge(List<DataSet>) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
merge(List<MultiDataSet>) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
merge(Evaluation) - Method in class org.deeplearning4j.eval.Evaluation
Merge the other evaluation object into this one.
merge(EvaluationBinary) - Method in class org.deeplearning4j.eval.EvaluationBinary
 
merge(EvaluationCalibration) - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
merge(T) - Method in interface org.deeplearning4j.eval.IEvaluation
 
merge(RegressionEvaluation) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
merge(ROC) - Method in class org.deeplearning4j.eval.ROC
Merge this ROC instance with another.
merge(ROCBinary) - Method in class org.deeplearning4j.eval.ROCBinary
 
merge(ROCMultiClass) - Method in class org.deeplearning4j.eval.ROCMultiClass
Merge this ROCMultiClass instance with another.
mergeAndStoreRemainder(List<T>) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
mergeCoords(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will merge the coordinates of the given coordinate system.
mergeCoords(List<Double>, List<Double>) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will merge the coordinates of the given coordinate system.
Merger() - Constructor for class org.ansj.splitWord.Analysis.Merger
 
merger() - Method in class org.ansj.splitWord.Analysis.Merger
 
MergeVertex - Class in org.deeplearning4j.nn.conf.graph
A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.
Exactly how this is done depends on the type of input.
For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]
For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength]) -> [numExamples,layerSize1 + layerSize2,timeSeriesLength]
For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height]) -> [numExamples,depth1 + depth2,width,height]
MergeVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.MergeVertex
 
MergeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
A MergeVertex is used to combine the activations of two or more layers/GraphVertex by means of concatenation/merging.
Exactly how this is done depends on the type of input.
For 2d (feed forward layer) inputs: MergeVertex([numExamples,layerSize1],[numExamples,layerSize2]) -> [numExamples,layerSize1 + layerSize2]
For 3d (time series) inputs: MergeVertex([numExamples,layerSize1,timeSeriesLength],[numExamples,layerSize2,timeSeriesLength]) -> [numExamples,layerSize1 + layerSize2,timeSeriesLength]
For 4d (convolutional) inputs: MergeVertex([numExamples,depth1,width,height],[numExamples,depth2,width,height]) -> [numExamples,depth1 + depth2,width,height]
MergeVertex(ComputationGraph, String, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
MergeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
messageHandler(MessageHandler) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method allows to specify MessageHandler instance Default value: EncodingHandler
MessageHandler - Interface in org.deeplearning4j.optimize.solvers.accumulation
This interface describes communication primitive for GradientsAccumulator PLEASE NOTE: All implementations of this interface must be thread-safe.
messageHandlerClass - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
MessageHeaderDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
MessageHeaderDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
MessageHeaderEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
MessageHeaderEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
messages - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
MetaAttribute - Enum in org.deeplearning4j.ui.stats.sbe
 
metaData() - Method in interface org.deeplearning4j.zoo.InstantiableModel
Deprecated.
metaData() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
metaData() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
metaData() - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
metaData() - Method in class org.deeplearning4j.zoo.model.LeNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.NASNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
metaData() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
metaData() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
metaData() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
metaData() - Method in class org.deeplearning4j.zoo.model.UNet
 
metaData() - Method in class org.deeplearning4j.zoo.model.VGG16
 
metaData() - Method in class org.deeplearning4j.zoo.model.VGG19
 
metaData() - Method in class org.deeplearning4j.zoo.model.Xception
 
metaData() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
metaDataBytes() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
metaDataBytesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
MetaDataBytesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
metaDataBytesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
MetaDataBytesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
metaDataBytesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
metric - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
min(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
min(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
MIN_ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
MIN_ALPHA - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
MIN_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
minDistance(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
minElementFrequency - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
minElementFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
minGain(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
minGain - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
minGain - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
minGain(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
minGain - Variable in class org.deeplearning4j.plot.Tsne
 
minibatch(boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization.Builder
If doing minibatch training or not.
miniBatch - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
miniBatch(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Process input as minibatch vs full dataset.
miniBatch - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
miniBatch(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Whether scores and gradients should be divided by the minibatch size.
Most users should leave this ast he default value of true.
miniBatch - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
minibatchCount - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
miniBatches() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Iterates over mini batches
miniBatchesJava() - Method in class org.deeplearning4j.spark.datavec.RDDMiniBatches
 
minibatchesPerSecond() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecond(float) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
minibatchesPerSecondId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
minibatchesPerSecondMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
minibatchesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
minibatchesPerSecondNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
MiniBatchFunction(int) - Constructor for class org.deeplearning4j.spark.datavec.RDDMiniBatches.MiniBatchFunction
 
minibatchSize(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Minibatch size to use for the DataSetIterator
minimize - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
minimize(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Objective function to minimize or maximize cost function Default set to minimize true.
minimize - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
minimize(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
minimize - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
minLearningRate - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
minLearningRate(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
minLearningRate(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
minLearningRate(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines minimal learning rate value for training
minLearningRate - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
minLearningRate(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines minimum learning rate after decay being applied.
minLearningRate(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines minimal learning rate value for training
minLearningRate - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
minLearningRate(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies bottom threshold for learning rate decay
MinMaxNormConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the minimum AND maximum L2 norm of the incoming weights for each unit to be between the specified values.
MinMaxNormConstraint(double, double, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
Apply to weights but not biases by default
MinMaxNormConstraint(double, double, double, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
Apply to weights but not biases by default
MinMaxNormConstraint(double, double, double, Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.MinMaxNormConstraint
 
minThreshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
minThreshold - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
minThreshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
minThreshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
minUpdatesThreshold(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Once update with given threshold become too sparse, threshold will be decreased by thresholdStep, but not below minimum threshold Default value: 1e-5
minValue() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValue(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minValueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minValueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
minValueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
minVertexInputs() - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
minWordFrequency - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
minWordFrequency - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
minWordFrequency(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets minimum word frequency during vocabulary mastering.
minWordFrequency(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
minWordFrequency(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines minimal word frequency in training corpus.
minWordFrequency - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
minWordFrequency(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines minimal element frequency for elements found in the training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines minimal word frequency in training corpus.
minWordFrequency(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
 
minWordFrequency - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies minimum word frequency threshold.
minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
minWordFrequency(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
minWords(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
mkOrderingOps(DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
MLLibUtil - Class in org.deeplearning4j.spark.util
Dl4j <----> MLLib
mnist() - Static method in class org.deeplearning4j.datasets.DataSets
 
mnist(int) - Static method in class org.deeplearning4j.datasets.DataSets
 
MNIST_ROOT - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
MnistDataFetcher - Class in org.deeplearning4j.datasets.fetchers
Data fetcher for the MNIST dataset
MnistDataFetcher(boolean) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
Constructor telling whether to binarize the dataset or not
MnistDataFetcher(boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
MnistDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
MnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Mnist data applyTransformToDestination iterator.
MnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
 
MnistDataSetIterator(int, int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
Get the specified number of examples for the MNIST training data set.
MnistDataSetIterator(int, boolean, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
Constructor to get the full MNIST data set (either test or train sets) without binarization (i.e., just normalization into range of 0 to 1), with shuffling based on a random seed.
MnistDataSetIterator(int, int, boolean, boolean, boolean, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator
Get the specified number of MNIST examples (test or train set), with optional shuffling and binarization.
MnistDbFile - Class in org.deeplearning4j.datasets.mnist
MNIST database file containing entries that can represent image or label data.
MnistDbFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistDbFile
Creates new instance and reads the header information.
MnistFetcher - Class in org.deeplearning4j.base
 
MnistFetcher() - Constructor for class org.deeplearning4j.base.MnistFetcher
 
MnistImageFile - Class in org.deeplearning4j.datasets.mnist
MNIST database image file.
MnistImageFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistImageFile
Creates new MNIST database image file ready for reading.
MnistLabelFile - Class in org.deeplearning4j.datasets.mnist
MNIST database label file.
MnistLabelFile(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistLabelFile
Creates new MNIST database label file ready for reading.
MnistManager - Class in org.deeplearning4j.datasets.mnist
Utility class for working with the MNIST database.
MnistManager(String, String, boolean) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
Constructs an instance managing the two given data files.
MnistManager(String, String, int) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
 
MnistManager(String, String) - Constructor for class org.deeplearning4j.datasets.mnist.MnistManager
 
mode(TokenizerBase.Mode) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Sets the tokenization mode
mode - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
mode(Bidirectional.Mode) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
mode - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
Model - Class in org.ansj.app.crf
 
Model() - Constructor for class org.ansj.app.crf.Model
 
model - Variable in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
Model - Interface in org.deeplearning4j.nn.api
A Model is meant for predicting something from data.
model - Variable in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
model(Model) - Method in class org.deeplearning4j.optimize.Solver.Builder
 
model - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
model - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
model - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
modelBuilder - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
modelBuilder() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
modelConfigClassName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigClassNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigClassNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJson() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJson(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelConfigJsonLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelConfigJsonMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelExporter - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
ModelGuesser - Class in org.deeplearning4j.util
Guess a model from the given path
ModelGuesser() - Constructor for class org.deeplearning4j.util.ModelGuesser
 
ModelGuesserException - Exception in org.deeplearning4j.util
 
ModelGuesserException(String) - Constructor for exception org.deeplearning4j.util.ModelGuesserException
 
ModelGuesserException(String, Throwable) - Constructor for exception org.deeplearning4j.util.ModelGuesserException
 
ModelGuesserException(Throwable) - Constructor for exception org.deeplearning4j.util.ModelGuesserException
 
modelHdf5Filename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelInfo() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
modelInfo(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
modelJson - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelJson(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelJsonFilename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelJsonInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
ModelMetaData - Class in org.deeplearning4j.zoo
Deprecated.
As of May 10, 2018. Will be removed in v1.1. Getters are now available on the inputShape from the ZooModel implementation.
ModelMetaData() - Constructor for class org.deeplearning4j.zoo.ModelMetaData
Deprecated.
 
modelNumLayers() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayers(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumLayersId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumLayersMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumLayersNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumLayersNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParams() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParams(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParamsId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParamsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelNumParamsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelNumParamsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelParamNames() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
modelParamNames() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNames(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
ModelParamNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
ModelParamNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelParamNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
modelParamNamesLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
modelParamNamesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
modelSaver(EarlyStoppingModelSaver<T>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
How should models be saved? (Default: in memory)
ModelSavingCallback - Class in org.deeplearning4j.optimize.listeners.callbacks
This callback will save model after each EvaluativeListener invocation.
ModelSavingCallback(String) - Constructor for class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
This constructor will create ModelSavingCallback instance that will save models in current folder PLEASE NOTE: Make sure you have write access to the current folder
ModelSavingCallback(File, String) - Constructor for class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
This constructor will create ModelSavingCallback instance that will save models in specified folder PLEASE NOTE: Make sure you have write access to the target folder
ModelSerializer - Class in org.deeplearning4j.util
Utility class suited to save/restore neural net models
modelType() - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
modelType() - Method in class org.deeplearning4j.zoo.model.AlexNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.Darknet19
 
modelType() - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
modelType() - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
modelType() - Method in class org.deeplearning4j.zoo.model.LeNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.NASNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.ResNet50
 
modelType() - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
modelType() - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
modelType() - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
modelType() - Method in class org.deeplearning4j.zoo.model.UNet
 
modelType() - Method in class org.deeplearning4j.zoo.model.VGG16
 
modelType() - Method in class org.deeplearning4j.zoo.model.VGG19
 
modelType() - Method in class org.deeplearning4j.zoo.model.Xception
 
modelType() - Method in class org.deeplearning4j.zoo.model.YOLO2
 
modelUri - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
ModelUtils<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.reader
Instances implementing this interface should be responsible for utility access to SequenceVectors model
modelUtils - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelUtils(ModelUtils<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelUtils - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
modelUtils(ModelUtils<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
ModelUtils implementation, that will be used to access model.
modelUtils(ModelUtils<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
Sets ModelUtils that gonna be used as provider for utility methods: similarity(), wordsNearest(), accuracy(), etc
modelYaml - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelYaml(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelYamlFilename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
modelYamlInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
module() - Static method in class org.deeplearning4j.ui.providers.ObjectMapperProvider
 
momentum - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
momentum - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
momentum - Variable in class org.deeplearning4j.plot.Tsne
 
movingAverage(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Calculate a moving average given the length
MovingWindowBaseDataSetIterator - Class in org.deeplearning4j.datasets.iterator
DataSetIterator for moving window (rotating matrices)
MovingWindowBaseDataSetIterator(int, int, DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.MovingWindowBaseDataSetIterator
 
MovingWindowDataSetFetcher - Class in org.deeplearning4j.datasets.iterator.impl
Moving window data fetcher.
MovingWindowDataSetFetcher(DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MovingWindowDataSetFetcher
 
MovingWindowMatrix - Class in org.deeplearning4j.util
Moving window on a matrix (usually used for images) Given a: This is a list of flattened arrays: 1 1 1 1 1 1 2 2 2 2 2 2 ----> 1 1 2 2 3 3 3 3 3 3 4 4 4 4 4 4 3 3 4 4
MovingWindowMatrix(INDArray, int, int, boolean) - Constructor for class org.deeplearning4j.util.MovingWindowMatrix
 
MovingWindowMatrix(INDArray, int, int) - Constructor for class org.deeplearning4j.util.MovingWindowMatrix
Same as calling new MovingWindowMatrix(toSlice,windowRowSize,windowColumnSize,false)
MultiBoolean - Class in org.deeplearning4j.datasets.iterator.parallel
This is utility class, that allows easy handling of multiple joint boolean states.
MultiBoolean(int) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
 
MultiBoolean(int, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
 
MultiBoolean(int, boolean, boolean) - Constructor for class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
 
MultiDataSetDeserializationCallback - Class in org.deeplearning4j.spark.parameterserver.callbacks
 
MultiDataSetDeserializationCallback() - Constructor for class org.deeplearning4j.spark.parameterserver.callbacks.MultiDataSetDeserializationCallback
 
MultiDataSetExportFunction - Class in org.deeplearning4j.spark.data
A function (used in forEachPartition) to save MultiDataSet objects to disk/HDFS.
MultiDataSetExportFunction(URI) - Constructor for class org.deeplearning4j.spark.data.MultiDataSetExportFunction
 
MultiDataSetIteratorAdapter - Class in org.deeplearning4j.datasets.iterator.impl
Iterator that adapts a DataSetIterator to a MultiDataSetIterator
MultiDataSetIteratorAdapter(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
MultiDataSetIteratorSplitter - Class in org.deeplearning4j.datasets.iterator
This iterator virtually splits given MultiDataSetIterator into Train and Test parts.
MultiDataSetIteratorSplitter(MultiDataSetIterator, long, double) - Constructor for class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
MultiDataSetProvider - Interface in org.deeplearning4j.spark.data
A provider for an MultiDataSet rdd.
MultiDataSetProviderFactory - Interface in org.deeplearning4j.parallelism.main
Creates an MultiDataSetIterator
MultiDataSetWrapperIterator - Class in org.deeplearning4j.datasets.iterator
This class is simple wrapper that takes single-input MultiDataSets and converts them to DataSets on the fly PLEASE NOTE: This only works if number of features/labels/masks is 1
MultiDataSetWrapperIterator(MultiDataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
MultiLayerConfiguration - Class in org.deeplearning4j.nn.conf
Configuration for a multi layer network
MultiLayerConfiguration() - Constructor for class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
MultiLayerConfiguration.Builder - Class in org.deeplearning4j.nn.conf
 
MultiLayerConfigurationDeserializer - Class in org.deeplearning4j.nn.conf.serde
 
MultiLayerConfigurationDeserializer(JsonDeserializer<?>) - Constructor for class org.deeplearning4j.nn.conf.serde.MultiLayerConfigurationDeserializer
 
MultiLayerNetwork - Class in org.deeplearning4j.nn.multilayer
MultiLayerNetwork is a neural network with multiple layers in a stack, and usually an output layer.
MultiLayerNetwork(MultiLayerConfiguration) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
MultiLayerNetwork(String, INDArray) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the network based on the configuration
MultiLayerNetwork(MultiLayerConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Initialize the network based on the configuraiton
MultiLayerUpdater - Class in org.deeplearning4j.nn.updater
MultiLayerUpdater: Gradient updater for MultiLayerNetworks.
MultiLayerUpdater(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
MultiLayerUpdater(MultiLayerNetwork, INDArray) - Constructor for class org.deeplearning4j.nn.updater.MultiLayerUpdater
 
multiPartUpload(File, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
Multi part upload for big files
MultiPdsIterator - Class in org.deeplearning4j.spark.parameterserver.iterators
 
MultiPdsIterator(Iterator<PortableDataStream>, PortableDataStreamMDSCallback) - Constructor for class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
MultipleEpochsIterator - Class in org.deeplearning4j.datasets.iterator
Deprecated.
Does not properly trigger the incrementing of epoch counts in MultiLayerNetwork/ComputationGraph. Use MultiLayerNetwork/ComputationGraph.fit(DataSetIterator, int numEpochs) instead
MultipleEpochsIterator(int, DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(int, DataSetIterator, int) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(DataSetIterator, int, long) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(DataSetIterator, long) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultipleEpochsIterator(int, DataSet) - Constructor for class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
MultiThreadUtils - Class in org.deeplearning4j.clustering.util
 
MutipleEpochsSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
This SentenceIterator implemenation wraps existing sentence iterator, and resets it numEpochs times This class is usable for tests purposes mostly.
MutipleEpochsSentenceIterator(SentenceIterator, int) - Constructor for class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
MyStaticValue - Class in org.ansj.util
这个类储存一些公用变量.
MyStaticValue() - Constructor for class org.ansj.util.MyStaticValue
 

N

n(double) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization.Builder
Number of adjacent kernel maps to use when doing LRN.
n - Variable in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
N_GRAMS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
name - Variable in class org.ansj.app.crf.pojo.Element
 
name(String) - Method in class org.deeplearning4j.nn.conf.layers.Layer.Builder
Layer name assigns layer string name.
name(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
name(String) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.Builder
 
name() - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
NAME_SPACE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
nameAmbiguity(Term[], Forest...) - Static method in class org.ansj.util.NameFix
人名消歧,比如.邓颖超生前->邓颖 超生 前 fix to 丁颖超 生 前! 规则的方式增加如果两个人名之间连接是- , ·,•则连接
NameFix - Class in org.ansj.util
 
NameFix() - Constructor for class org.ansj.util.NameFix
 
nameLayer(String, String, int) - Static method in class org.deeplearning4j.zoo.model.helper.InceptionResNetHelper
 
nameProvider(SystemPolling.NameProvider) - Method in class org.deeplearning4j.perf.listener.SystemPolling.Builder
The name provider for this SystemPolling the default value for this is a simple UUID
nameStr() - Method in class org.ansj.app.crf.pojo.Element
获得可见的名称
NAN_REPLACEMENT_VALUE - Static variable in class org.deeplearning4j.ui.module.train.TrainModule
 
NASNet - Class in org.deeplearning4j.zoo.model
U-Net Implementation of NASNet-A in Deeplearning4j.
NASNetHelper - Class in org.deeplearning4j.zoo.model.helper
Layer helpers NASNet.
NASNetHelper() - Constructor for class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
natrue() - Method in class org.ansj.domain.Term
获得这个词的词性.词性计算后才可生效
nature - Variable in class org.ansj.app.crf.pojo.Element
 
Nature - Class in org.ansj.domain
这里面封装了一些基本的词性.
Nature(String, int, int, int) - Constructor for class org.ansj.domain.Nature
 
Nature(String) - Constructor for class org.ansj.domain.Nature
 
nature - Variable in class org.ansj.domain.TermNature
 
nature - Variable in class org.ansj.domain.TermNatures
默认词性
natureIndex - Variable in class org.ansj.domain.Nature
 
NatureLibrary - Class in org.ansj.library
这里封装了词性和词性之间的关系.以及词性的索引.这是个好东西.
NatureLibrary() - Constructor for class org.ansj.library.NatureLibrary
 
NatureRecognition - Class in org.ansj.recognition.impl
词性标注工具类
NatureRecognition() - Constructor for class org.ansj.recognition.impl.NatureRecognition
 
NatureRecognition(Forest...) - Constructor for class org.ansj.recognition.impl.NatureRecognition
 
NatureRecognition.NatureTerm - Class in org.ansj.recognition.impl
关于这个term的词性
natureStr - Variable in class org.ansj.domain.Nature
 
NatureTerm(TermNature) - Constructor for class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
nBins() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBins(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nBinsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nBinsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
nBinsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
nBinsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
NDARRAY_TYPE - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
 
NDARRAY_TYPE_HEADER - Static variable in class org.deeplearning4j.streaming.kafka.NDArrayKafkaClient
 
NDArrayConsumer - Class in org.deeplearning4j.streaming.kafka
NDArray consumer for receiving ndarrays off of kafka
NDArrayConsumer() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayConsumer
 
NDArrayKafkaClient - Class in org.deeplearning4j.streaming.kafka
Created by agibsonccc on 7/31/16.
NDArrayKafkaClient() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayKafkaClient
 
NDArrayPublisher - Class in org.deeplearning4j.streaming.kafka
Send an ndarray to a kafka topic
NDArrayPublisher() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayPublisher
 
NDArrayPubSubRoute - Class in org.deeplearning4j.streaming.kafka
Created by agibsonccc on 7/31/16.
NDArrayPubSubRoute() - Constructor for class org.deeplearning4j.streaming.kafka.NDArrayPubSubRoute
 
NDArrayRecordToNDArray - Class in org.deeplearning4j.streaming.conversion.ndarray
Assumes all records in the given batch are of type @link{NDArrayWritable} It extracts the underlying arrays and returns a concatenated array.
NDArrayRecordToNDArray() - Constructor for class org.deeplearning4j.streaming.conversion.ndarray.NDArrayRecordToNDArray
 
NDArrayType - Enum in org.deeplearning4j.streaming.kafka
Used for headers to distinguish the type of ndarray message being sent.
nearestCluster(Point) - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
nearestLabels(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified document
nearestLabels(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified text
nearestLabels(Collection<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified set of vocab words
nearestLabels(INDArray, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns top N labels nearest to specified features vector
NearestNeighbor - Class in org.deeplearning4j.nearestneighbor.server
Created by agibsonccc on 4/27/17.
NearestNeighbor() - Constructor for class org.deeplearning4j.nearestneighbor.server.NearestNeighbor
 
NearestNeighborRequest - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 4/26/17.
NearestNeighborRequest() - Constructor for class org.deeplearning4j.nearestneighbor.model.NearestNeighborRequest
 
NearestNeighborsClient - Class in org.deeplearning4j.nearestneighbor.client
Client for the nearest neighbors server.
NearestNeighborsClient(String) - Constructor for class org.deeplearning4j.nearestneighbor.client.NearestNeighborsClient
 
NearestNeighborsQuery - Class in org.deeplearning4j.ui.nearestneighbors.word2vec
 
NearestNeighborsQuery(String, int) - Constructor for class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
NearestNeighborsQuery() - Constructor for class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
NearestNeighborsResult - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 4/26/17.
NearestNeighborsResult(int, double) - Constructor for class org.deeplearning4j.nearestneighbor.model.NearestNeighborsResult
 
NearestNeighborsResults - Class in org.deeplearning4j.nearestneighbor.model
Created by agibsonccc on 4/27/17.
NearestNeighborsResults() - Constructor for class org.deeplearning4j.nearestneighbor.model.NearestNeighborsResults
 
NearestNeighborsServer - Class in org.deeplearning4j.nearestneighbor.server
A rest server for using an VPTree based on loading an ndarray containing the data points for the path The input values are an CSVRecord which (based on the input schema) will automatically have their values transformed.
NearestNeighborsServer() - Constructor for class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
 
NearestVertexWalker<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This walker represents connections of a given node + their neighborhoods up to certain depth.
NearestVertexWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
NearestVertexWalker.Builder<V extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
NearestVertexWalker.VertexComparator<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
needsLabels() - Method in interface org.deeplearning4j.nn.api.layers.IOutputLayer
Returns true if labels are required for this output layer
needsLabels() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
needsLabels() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
negative() - Method in class org.deeplearning4j.eval.Evaluation
Total negatives true negatives + false negatives
negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
negative(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
negative - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
negative - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
negative - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
negative(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
negative - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
negative(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
negative - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
negative(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies negative sampling
negative(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
NEGATIVE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
NEGATIVE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
NegativeDefaultStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Inverse step function
NegativeDefaultStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
 
NegativeDefaultStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Inverse step function
NegativeDefaultStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction
 
NegativeGradientStepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Subtract the line
NegativeGradientStepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
 
NegativeGradientStepFunction - Class in org.deeplearning4j.optimize.stepfunctions
Subtract the line
NegativeGradientStepFunction() - Constructor for class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction
 
NegativeHolder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Simple singleton holder class for w2v negative sampling, to avoid syn1Neg creation for each spark node
negativeSample(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Deprecated.
negativeSample(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
negativeSample(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether negative sampling should be used or not PLEASE NOTE: If you're going to use negative sampling, you might want to disable HierarchicSoftmax, which is enabled by default Default value: 0
negativeSample(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines negative sampling value for skip-gram algorithm.
negativeSample(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether negative sampling should be used or not PLEASE NOTE: If you're going to use negative sampling, you might want to disable HierarchicSoftmax, which is enabled by default Default value: 0
negativeSampling(long) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
negativeSampling(long) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.CompositeReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
negLogProbability(INDArray, INDArray, boolean) - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
negLogProbability(INDArray, INDArray, boolean) - Method in interface org.deeplearning4j.nn.conf.layers.variational.ReconstructionDistribution
Calculate the negative log probability (summed or averaged over each example in the minibatch)
NetBroadcastTuple - Class in org.deeplearning4j.spark.api.worker
A simple class for storing configurations, parameters and updaters in one class (so they can be broadcast together)
NetBroadcastTuple(MultiLayerConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
NetBroadcastTuple(ComputationGraphConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
NetBroadcastTuple(MultiLayerConfiguration, ComputationGraphConfiguration, INDArray, INDArray) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
NetBroadcastTuple(MultiLayerConfiguration, ComputationGraphConfiguration, INDArray, INDArray, AtomicInteger) - Constructor for class org.deeplearning4j.spark.api.worker.NetBroadcastTuple
 
network - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
networkInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
networkInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
List of inputs to the network, by name
networkInputTypes - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
NetworkMemoryReport - Class in org.deeplearning4j.nn.conf.memory
Network memory reports is a class that is used to store/represent the memory requirements of a MultiLayerNetwork or ComputationGraph, composed of multiple layers and/or vertices.
NetworkMemoryReport(Map<String, MemoryReport>, Class<?>, String, InputType...) - Constructor for class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
networkOutputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
networkOutputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
List of network outputs, by name
NetworkUtils - Class in org.deeplearning4j.util
 
NeuralNetConfiguration - Class in org.deeplearning4j.nn.conf
A Serializable configuration for neural nets that covers per layer parameters
NeuralNetConfiguration() - Constructor for class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
NeuralNetConfiguration.Builder - Class in org.deeplearning4j.nn.conf
NeuralNetConfiguration builder, used as a starting point for creating a MultiLayerConfiguration or ComputationGraphConfiguration.
Note that values set here on the layer will be applied to all relevant layers - unless the value is overridden on a layer's configuration
NeuralNetConfiguration.ListBuilder - Class in org.deeplearning4j.nn.conf
Fluent interface for building a list of configurations
NeuralNetConfiguration.ListBuilder.InputTypeBuilder - Class in org.deeplearning4j.nn.conf
Helper class for setting input types
NeuralNetwork - Interface in org.deeplearning4j.nn.api
 
newEpoch - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseIEvaluationScoreCalculator
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.ClassificationScoreCalculator
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
newEval() - Method in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
newExecutorService() - Static method in class org.deeplearning4j.clustering.util.MultiThreadUtils
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.ConnectionCosts
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
newInstance(ResourceResolver, CharacterDefinitions, int) - Static method in class com.atilika.kuromoji.dict.UnknownDictionary
 
newInstance(ResourceResolver) - Static method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
newShape - Variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
NewWord - Class in org.ansj.domain
新词发现,实体名
NewWord(String, Nature, double) - Constructor for class org.ansj.domain.NewWord
 
NewWord(String, Nature) - Constructor for class org.ansj.domain.NewWord
 
NewWordRecognition - Class in org.ansj.recognition.arrimpl
新词识别
NewWordRecognition(LearnTool) - Constructor for class org.ansj.recognition.arrimpl.NewWordRecognition
 
next() - Method in class org.ansj.domain.Term
 
next() - Method in class org.ansj.splitWord.Analysis
while 循环调用.直到返回为null则分词结束
next() - Method in class org.deeplearning4j.aws.s3.reader.BucketIterator
 
next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Fetch the next 'num' examples.
next() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
next() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Returns the next data applyTransformToDestination
next(int) - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
Returns the next element in the iteration.
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
next() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
next() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
Move to the next entry.
next() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
next(int) - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
next() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
next() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Get the next vertex sequence.
next() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
next() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
next() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
next(int) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
next() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
next() - Method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.CSVReader
 
next() - Method in interface org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.Reader
 
next() - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
This method returns next walk sequence from this graph
next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
next() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
next(int) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Like the standard next method but allows a customizable number of examples returned
next() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.parallelism.AsyncIterator
 
next(int) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
next() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
next(int) - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
next(int) - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
next(int) - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
next(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
next(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
next() - Method in class org.deeplearning4j.text.corpora.treeparser.TreeIterator
Returns the next element in the iteration.
next() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
next() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
next() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
next() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
nextBoolean() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed boolean value from the Math.random() sequence.
nextBoolean(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed boolean value from the given random sequence.
nextBucket() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
nextBucket - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
This method returns next LabelledDocument
nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator
Get the next document
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
nextDocument() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
nextDocument() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
This method returns next LabelledDocument from underlying iterator
nextDocument() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
nextDouble() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the Math.random() sequence.
nextDouble(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the given Random sequence.
nextElement - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
nextElement - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
nextElement - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
nextFloat() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the Math.random() sequence.
nextFloat(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from the given Random sequence.
nextFor() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
nextFor(int) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
nextFor() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
nextImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Move the cursor to the next image.
nextInt() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed int value from the Math.random() sequence.
nextInt(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed int value from the given random sequence.
nextInt(int) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), from the Math.random() sequence.
nextInt(Random, int) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), from the given Random sequence.
nextLabel() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
Returns next label.
nextLabel() - Method in interface org.deeplearning4j.text.labels.LabelsProvider
 
nextList(ObjectListing) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Iterator style one list at a time
nextLong() - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed long value from the Math.random() sequence.
nextLong(Random) - Static method in class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
Returns the next pseudorandom, uniformly distributed long value from the given Random sequence.
nextMultiDataSet(Map<String, List<List<Writable>>>, Map<String, List<INDArray>>, Map<String, List<List<List<Writable>>>>, List<RecordMetaDataComposableMap>) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
nextName() - Method in interface org.deeplearning4j.perf.listener.SystemPolling.NameProvider
 
nextObject() - Method in class org.deeplearning4j.aws.s3.reader.BaseS3DataSetIterator
 
nextObject() - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceReader
Returns next CoOccurrenceWeight object PLEASE NOTE: This method can return null value.
nextObject() - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceReader
 
nextObject() - Method in interface org.deeplearning4j.models.glove.count.CoOccurenceReader
 
nextPowOf2(long) - Static method in class org.deeplearning4j.clustering.util.MathUtils
See: http://stackoverflow.com/questions/466204/rounding-off-to-nearest-power-of-2
nextRandom - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
nextRecord() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
nextSentence() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
 
nextSentence() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
nextSentence() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
nextSentence() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
nextSentence() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
nextSentence() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
Gets the next sentence or null if there's nothing left (Do yourself a favor and check hasNext() )
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
nextSentence() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
nextSequence() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
 
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
Returns next sequence out of iterator
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
Returns filtered sequence, that contains sequence elements from vocabulary only.
nextSequence() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
Returns next sequence from data source
nextSequence() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
This method returns next token from prebuffered list of tokens or underlying InputStream
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
nextToken() - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
The next token (word usually) in the string
nextToken() - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
nextWord - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
NgramLibrary - Class in org.ansj.library
两个词之间的关联
NgramLibrary() - Constructor for class org.ansj.library.NgramLibrary
 
nGrams - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
NGramTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
 
NGramTokenizer(Tokenizer, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
NGramTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
 
NGramTokenizerFactory(TokenizerFactory, Integer, Integer) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
 
nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
nIn - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
 
nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
Number of inputs for the layer (usually the size of the last layer).
nIn - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
nIn(int) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
NlpAnalysis - Class in org.ansj.splitWord.analysis
自然语言分词,具有未登录词发现功能。建议在自然语言理解中用。搜索中不要用
NlpAnalysis() - Constructor for class org.ansj.splitWord.analysis.NlpAnalysis
 
NlpAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.NlpAnalysis
 
nms(List<DetectedObject>, double) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Performs non-maximum suppression (NMS) on objects, using their IOU with threshold to match pairs.
nn(INDArray) - Method in class org.deeplearning4j.clustering.kdtree.KDTree
Query for nearest neighbor.
NO_PARAMS_MARKER - Static variable in class org.deeplearning4j.util.ModelSerializer
 
Node() - Constructor for class com.atilika.kuromoji.trie.Trie.Node
Constructor
Node(char) - Constructor for class com.atilika.kuromoji.trie.Trie.Node
Constructor
Node(int, float) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree.Node
 
Node2Vec<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.node2vec
Deprecated.
Node2Vec() - Constructor for class org.deeplearning4j.models.node2vec.Node2Vec
Deprecated.
 
Node2Vec.Builder<V extends SequenceElement,E extends Number> - Class in org.deeplearning4j.models.node2vec
Deprecated.
 
NODE_RATIO - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
NodeBuilder(List<INDArray>, List<Integer>) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree.NodeBuilder
 
NodeComparator() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.NodeComparator
 
NoEdgeHandling - Enum in org.deeplearning4j.graph.api
When walking a graph, how should we handle disconnected nodes? i.e., those without any outgoing (directed) or undirected edges
NoEdgeHandling - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
This enum describes different behaviors for cases when GraphWalker don't have next hop within current walk.
noEdgeHandling - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
noEdgeHandling - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
NoEdgesException - Exception in org.deeplearning4j.graph.exception
Unchecked exception, thrown to signify that an operation (usually on a vertex) cannot be completed because there are no edges for that vertex.
NoEdgesException() - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
 
NoEdgesException(String) - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
 
NoEdgesException(String, Exception) - Constructor for exception org.deeplearning4j.graph.exception.NoEdgesException
 
NoEdgesException - Exception in org.deeplearning4j.models.sequencevectors.graph.exception
Unchecked exception, thrown to signify that an operation (usually on a vertex) cannot be completed because there are no edges for that vertex.
NoEdgesException() - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
 
NoEdgesException(String) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
 
NoEdgesException(String, Exception) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.NoEdgesException
 
noI18NData() - Method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
noLeverageOverride - Variable in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
none() - Static method in class org.deeplearning4j.models.word2vec.VocabWord
 
NonNegativeConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the weights to be non-negative
NonNegativeConstraint() - Constructor for class org.deeplearning4j.nn.conf.constraint.NonNegativeConstraint
 
NoParamLayer - Class in org.deeplearning4j.nn.conf.layers
 
NoParamLayer(Layer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
Norm2Termination - Class in org.deeplearning4j.optimize.terminations
Terminate if the norm2 of the gradient is < a certain tolerance
Norm2Termination(double) - Constructor for class org.deeplearning4j.optimize.terminations.Norm2Termination
 
normalA(ComputationGraphConfiguration.GraphBuilder, int, String, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
NormalDistribution - Class in org.deeplearning4j.nn.conf.distribution
A normal distribution.
NormalDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.NormalDistribution
Create a normal distribution with the given mean and std
normalize(double, double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Normalize a value (val - min) / (max - min)
normalize(double[], double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Normalizes the doubles in the array using the given value.
normalize(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
normalize - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
normalize - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
normalize(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
normalize - Variable in class org.deeplearning4j.plot.Tsne
 
normalized - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
normalizedLabels - Variable in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
NORMALIZER_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer
 
normalizeToOne(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
notify(StatsStorageEvent) - Method in interface org.deeplearning4j.api.storage.StatsStorageListener
Notify will be called whenever an event (new information posted, etc) occurs.
notify(StatsStorageEvent) - Method in class org.deeplearning4j.ui.storage.impl.QueuePairStatsStorageListener
 
notify(StatsStorageEvent) - Method in class org.deeplearning4j.ui.storage.impl.QueueStatsStorageListener
 
notifyListeners(List<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
notifyListeners(List<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer.Builder
 
nOut - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
 
nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
Number of outputs - used to set the layer size (number of units/nodes for the current layer).
nOut - Variable in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.LossLayer.Builder
 
nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer.Builder
 
nOut(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Set the size of the VAE state Z.
nOut(int) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
nOutReplace(int, int, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer
nOutReplace(int, int, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer
nOutReplace(int, int, WeightInit, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
nOutReplace(int, int, Distribution, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
nOutReplace(int, int, WeightInit, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
nOutReplace(int, int, Distribution, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Modify the architecture of a layer by changing nOut Note this will also affect the layer that follows the layer specified, unless it is the output layer Can specify different weight init schemes for the specified layer and the layer that follows it.
nOutReplace(String, int, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Modify the architecture of a vertex layer by changing nOut Note this will also affect the vertex layer that follows the layer specified, unless it is the output layer Currently does not support modifying nOut of layers that feed into non-layer vertices like merge, subset etc To modify nOut for such vertices use remove vertex, followed by add vertex Can specify different weight init schemes for the specified layer and the layer that follows it.
nOutReplace(String, int, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Modify the architecture of a vertex layer by changing nOut Note this will also affect the vertex layer that follows the layer specified, unless it is the output layer Currently does not support modifying nOut of layers that feed into non-layer vertices like merge, subset etc To modify nOut for such vertices use remove vertex, followed by add vertex Can specify different weight init schemes for the specified layer and the layer that follows it.
nOutReplace(String, int, Distribution, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Modified nOut of specified layer.
nOutReplace(String, int, WeightInit, Distribution) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
 
nOutReplace(String, int, Distribution, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
 
nOutReplace(String, int, WeightInit, WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
 
noWorkspaceFor(ArrayType) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Specify that no workspace should be used for array of the specified type - i.e., these arrays should all be scoped out.
noWorkspaces() - Static method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
noWorkspacesImmutable() - Static method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
NR - Static variable in class org.ansj.domain.Nature
 
NR - Static variable in class org.ansj.domain.TermNature
 
NR - Static variable in class org.ansj.domain.TermNatures
 
NRF - Static variable in class org.ansj.domain.Nature
 
NRF - Static variable in class org.ansj.domain.TermNature
 
NRF - Static variable in class org.ansj.domain.TermNatures
 
NS - Static variable in class org.ansj.domain.TermNature
 
NS - Static variable in class org.ansj.domain.TermNatures
 
NT - Static variable in class org.ansj.domain.TermNature
 
NT - Static variable in class org.ansj.domain.TermNatures
 
NTP_SOURCE_SERVER_PROPERTY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
NTP_SOURCE_UPDATE_FREQUENCY_MS_PROPERTY - Static variable in class org.deeplearning4j.spark.time.NTPTimeSource
 
NTPTimeSource - Class in org.deeplearning4j.spark.time
A TimeSource that utilize Network Time Protocol to determine the system clock offset
Instances should be obtained via NTPTimeSource.getInstance() or TimeSourceProvider; one instance may be used per machine
Specifically, the implementation uses Apache Commons Net (already a dependency in Spark) to query a NTP server.
nu - Variable in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
nu(double) - Method in class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer.Builder
 
NU_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
NULL - Static variable in class org.ansj.domain.AnsjItem
 
NULL - Static variable in class org.ansj.domain.Nature
 
NULL - Static variable in class org.ansj.domain.NumNatureAttr
 
NULL - Static variable in class org.ansj.domain.PersonNatureAttr
 
NULL - Static variable in class org.ansj.domain.TermNature
 
NULL - Static variable in class org.ansj.domain.TermNatures
 
nullDataSet - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
nullMode - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
NUM_BEGIN - Static variable in class org.ansj.app.crf.Config
 
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.IrisDataFetcher
 
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
NUM_EXAMPLES - Static variable in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
NUM_EXAMPLES_TEST - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
NUM_LABELS - Static variable in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
NUM_LAYERS - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
NUM_LINEAR_LAYERS - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
NUM_WORDS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
NUM_WORDS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
numAttr - Variable in class org.ansj.domain.TermNatures
数字属性
numberOfBuckets - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
numberOfWorkersPerNode - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
numChannels - Variable in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
numChannels - Variable in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
numChannels(int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Returns the number of feature maps for a given shape (must be at least 3 dimensions
numClasses() - Method in class org.deeplearning4j.eval.Evaluation
 
numClasses() - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
numColumns() - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
numDimension(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
numDocuments() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Returns the number of documents
numElementsDrained - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
numElementsReady - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
numEndFreq - Variable in class org.ansj.domain.NumNatureAttr
 
numEpochs - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
numEpochs - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
numEpochs - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
numEpochs - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
numExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Total number of examples in the dataset
numExamples() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Total number of examples in the dataset
numExamples() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Total number of examples in the dataset
numExamples - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
numExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
numExamples - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Total number of examples in the dataset
numExamples() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Total number of examples in the dataset
numExamples() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
numExamples() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
numExamplesTest(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the number of test examples for the specified subset
numExamplesTrain(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the number of training examples for the specified subset
numFeatureMap(NeuralNetConfiguration) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
numFreq - Variable in class org.ansj.domain.NumNatureAttr
 
numHistogramBins(StatsType) - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Get the number of histogram bins to use for the given type (for use with StatsUpdateConfiguration.collectHistograms(StatsType)
numHistogramBins(int) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
numHistogramBins(StatsType) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
numInGroup() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
numInGroup(int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
numInGroupMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
numInGroupMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
numInGroupMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
numInGroupMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
numInGroupNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
numInGroupNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
numIterations - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
numIterations - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
numLabelClasses() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Equivalent to allLabels().size()
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
numLabelClasses() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
numLabels(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.base.EmnistFetcher
 
numLabels(EmnistDataSetIterator.Set) - Static method in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
Get the number of labels for the specified subset
numLabels() - Method in class org.deeplearning4j.eval.EvaluationBinary
Returns the number of labels - (i.e., size of the prediction/labels arrays) - if known.
numLabels() - Method in class org.deeplearning4j.eval.ROCBinary
Returns the number of labels - (i.e., size of the prediction/labels arrays) - if known.
numLabels() - Method in interface org.deeplearning4j.nn.api.Classifier
Returns the number of possible labels
numLabels() - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Returns the number of possible labels
numLabels() - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
numLabels() - Method in class org.deeplearning4j.nn.layers.LossLayer
Returns the number of possible labels
numLabels() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
numLabels() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
numLabels() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns the number of possible labels
NumNatureAttr - Class in org.ansj.domain
 
NumNatureAttr() - Constructor for class org.ansj.domain.NumNatureAttr
 
numObjectsEachWorker(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
numObjectsEachWorker(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
numParams() - Method in interface org.deeplearning4j.nn.api.Model
the number of parameters for the model
numParams(boolean) - Method in interface org.deeplearning4j.nn.api.Model
the number of parameters for the model
numParams(NeuralNetConfiguration) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
 
numParams(Layer) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.FrozenVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.GraphVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2NormalizeVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.L2Vertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.LayerVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.DuplicateToTimeSeriesVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
numParams(boolean) - Method in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
numParams() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
numParams(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
numParams() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
The number of parameters for the model
numParams(boolean) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
numParams() - Method in class org.deeplearning4j.nn.layers.BaseLayer
The number of parameters for the model
numParams(boolean) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
numParams() - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
The number of parameters for the model, for backprop (i.e., excluding visible bias)
numParams() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
numParams() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
numParams() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
numParams() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
numParams() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
numParams() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
numParams() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
numParams(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
numParams() - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
numParams() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
numParams(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
numParams() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
numParams(boolean) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
numParams() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns a 1 x m vector where the vector is composed of a flattened vector of all of the weights for the various neuralNets and output layer
numParams(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.ElementWiseParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
numParams(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
numParams(Layer) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
numParams() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
numParams(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
numPartitions() - Method in class org.deeplearning4j.spark.data.shuffle.IntPartitioner
Deprecated.
 
numPartitions() - Method in class org.deeplearning4j.spark.impl.common.repartition.BalancedPartitioner
 
numPartitions() - Method in class org.deeplearning4j.spark.impl.common.repartition.HashingBalancedPartitioner
 
numPoints() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
numPoints() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
numPoints() - Method in class org.deeplearning4j.eval.curves.Histogram
 
numPoints() - Method in class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
numPoints() - Method in class org.deeplearning4j.eval.curves.ReliabilityDiagram
 
numPoints() - Method in class org.deeplearning4j.eval.curves.RocCurve
 
numPossibleLabels - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
numPossibleLabels - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
numProducers - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
NumRecognition - Class in org.ansj.recognition.arrimpl
 
NumRecognition() - Constructor for class org.ansj.recognition.arrimpl.NumRecognition
 
numRowCounter - Variable in class org.deeplearning4j.eval.Evaluation
 
numSamples(int) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Set the number of samples per data point (from VAE state Z) used when doing pretraining.
numSamples - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
numTest - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
numTest - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
numTrain - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
numTrain - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
numTrainableParams - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution
 
numVertices() - Method in interface org.deeplearning4j.graph.api.IGraph
Number of vertices in the graph
numVertices() - Method in class org.deeplearning4j.graph.graph.Graph
 
numVertices() - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
numVertices() - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
numVertices() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
numVertices() - Method in interface org.deeplearning4j.models.sequencevectors.graph.primitives.IGraph
Number of vertices in the graph
numWords - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns number of elements in this vocabulary
numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the number of words in the cache
numWords() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the number of words in the cache
numWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
numWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
numWordsEncountered() - Method in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
Returns the number of words encountered so far
numWordsEncountered() - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Returns the number of words encountered so far
numWorkers - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
numWorkers - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
numWorkers - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
numWorkers - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
numWorkersPerNode - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
numWorkersPerNode - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
nVertices - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
NW - Static variable in class org.ansj.domain.Nature
 
NW - Static variable in class org.ansj.domain.TermNature
 
NW - Static variable in class org.ansj.domain.TermNatures
 

O

oa - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
objectForKey(String, String) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Returns an input stream for the given bucket and key
ObjectMapperProvider - Class in org.deeplearning4j.ui.providers
 
ObjectMapperProvider() - Constructor for class org.deeplearning4j.ui.providers.ObjectMapperProvider
 
ObservablesProvider(long, int, BlockingQueue<InferenceObservable>) - Constructor for class org.deeplearning4j.parallelism.ParallelInference.ObservablesProvider
 
observer - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
OCNNLossFunction() - Constructor for class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer.OCNNLossFunction
 
OCNNOutputLayer - Class in org.deeplearning4j.nn.conf.ocnn
An implementation of one class neural networks from: https://arxiv.org/pdf/1802.06360.pdf The one class neural network approach is an extension of the standard output layer with a single set of weights, an activation function, and a bias to: 2 sets of weights, a learnable "r" parameter that is held static 1 traditional set of weights.
OCNNOutputLayer(OCNNOutputLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
OCNNOutputLayer(int, double, IActivation) - Constructor for class org.deeplearning4j.nn.conf.ocnn.OCNNOutputLayer
 
OCNNOutputLayer - Class in org.deeplearning4j.nn.layers.ocnn
Layer implementation for OCNNOutputLayer See OCNNOutputLayer for details.
OCNNOutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
OCNNOutputLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
OCNNOutputLayer.Builder - Class in org.deeplearning4j.nn.conf.ocnn
 
OCNNOutputLayer.OCNNLossFunction - Class in org.deeplearning4j.nn.layers.ocnn
 
OCNNParamInitializer - Class in org.deeplearning4j.nn.layers.ocnn
Param initializer for OCNNOutputLayer
OCNNParamInitializer() - Constructor for class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
offe - Variable in class org.ansj.splitWord.Analysis
用来记录偏移量
offe - Variable in class org.ansj.splitWord.impl.GetWordsImpl
offe : 当前词的偏移量
offer(E) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
offer(E, long, TimeUnit) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
offer(T) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
offer(T, long, TimeUnit) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
offer(E) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
offset - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
offset() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
offset - Variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
offset() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
offset - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
offset() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
offset - Variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
offset() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
offset - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
offset() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
offset - Variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
offset() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
oldScore - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
on(Function1<U, DataSet>) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
onAttach(StatsStorage) - Method in interface org.deeplearning4j.ui.api.UIModule
Notify the UI module that the given StatsStorage instance has been attached to the UI
onAttach(StatsStorage) - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
onAttach(StatsStorage) - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
onAttach(StatsStorage) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
onAttach(StatsStorage) - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
onAttach(StatsStorage) - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
onBackwardPass(Model) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
onBackwardPass(Model) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
Called once per iteration (backward pass) after gradients have been calculated, and updated Gradients are available via Model.gradient().
onBackwardPass(Model) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
onBackwardPass(Model) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
onBackwardPass(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
onBackwardPass(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
onBackwardPass(Model) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
onCompletion(EarlyStoppingResult<T>) - Method in interface org.deeplearning4j.earlystopping.listener.EarlyStoppingListener
Method that is called at the end of early stopping training
onData(InputStream) - Method in class org.deeplearning4j.aws.dataset.DataSetLoader
 
onDetach(StatsStorage) - Method in interface org.deeplearning4j.ui.api.UIModule
Notify the UI module that the given StatsStorage instance has been detached from the UI
onDetach(StatsStorage) - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
onDetach(StatsStorage) - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
onDetach(StatsStorage) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
onDetach(StatsStorage) - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
onDetach(StatsStorage) - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
oneIndexed - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
onEpoch(int, double, EarlyStoppingConfiguration<T>, T) - Method in interface org.deeplearning4j.earlystopping.listener.EarlyStoppingListener
Method that is called at the end of each epoch completed during early stopping training
onEpochEnd(Model) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
onEpochEnd(Model) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
onEpochEnd(Model) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener
 
onEpochEnd(Model) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
onEpochEnd(Model) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
onEpochEnd(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
onEpochEnd(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
onEpochEnd(Model) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
onEpochStart(Model) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
onEpochStart(Model) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
onEpochStart(Model) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
onEpochStart(Model) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
onEpochStart(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
onEpochStart(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
onEpochStart(Model) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
onForwardPass(Model, List<INDArray>) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
onForwardPass(Model, Map<String, INDArray>) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
onForwardPass(Model, List<INDArray>) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
Called once per iteration (forward pass) for activations (usually for a MultiLayerNetwork), only at training time
onForwardPass(Model, Map<String, INDArray>) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
Called once per iteration (forward pass) for activations (usually for a ComputationGraph), only at training time
onForwardPass(Model, List<INDArray>) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
onForwardPass(Model, Map<String, INDArray>) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
onForwardPass(Model, List<INDArray>) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
onForwardPass(Model, Map<String, INDArray>) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
onForwardPass(Model, List<INDArray>) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
onForwardPass(Model, Map<String, INDArray>) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
onForwardPass(Model, List<INDArray>) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
onForwardPass(Model, Map<String, INDArray>) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
onForwardPass(Model, List<INDArray>) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
onForwardPass(Model, Map<String, INDArray>) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
onGradientCalculation(Model) - Method in class org.deeplearning4j.optimize.api.BaseTrainingListener
 
onGradientCalculation(Model) - Method in interface org.deeplearning4j.optimize.api.TrainingListener
Called once per iteration (backward pass) before the gradients are updated Gradients are available via Model.gradient().
onGradientCalculation(Model) - Method in class org.deeplearning4j.optimize.listeners.EvaluativeListener
 
onGradientCalculation(Model) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
onGradientCalculation(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
onGradientCalculation(Model) - Method in class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
onGradientCalculation(Model) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
onKey(AmazonS3, String, String) - Method in interface org.deeplearning4j.aws.s3.reader.BucketKeyListener
 
onRootModel(boolean) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
onRootModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
onStart(EarlyStoppingConfiguration<T>, T) - Method in interface org.deeplearning4j.earlystopping.listener.EarlyStoppingListener
Method to be called when early stopping training is first started
op - Variable in class org.deeplearning4j.nn.conf.graph.ElementWiseVertex
 
openBrowser(URI) - Static method in class org.deeplearning4j.ui.UiUtils
 
openInputStream() - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
optimalRoot() - Method in class org.ansj.util.Graph
取得最优路径的root Term
OptimisationStrategy - Class in org.deeplearning4j.clustering.strategy
 
OptimisationStrategy() - Constructor for class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
OptimisationStrategy(int, String) - Constructor for class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
optimizationAlgo - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
optimizationAlgo(OptimizationAlgorithm) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Optimization algorithm to use.
optimizationAlgo - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
optimizationAlgo(OptimizationAlgorithm) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
optimizationAlgo - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
OptimizationAlgorithm - Enum in org.deeplearning4j.nn.api
Optimization algorithm to use
optimizationPhaseCondition - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
optimize() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
optimize(ClusteringOptimizationType, double) - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
optimize(LayerWorkspaceMgr) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Calls optimize
optimize(INDArray, INDArray, INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.optimize.api.LineOptimizer
Line optimizer
optimize(LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.Solver
 
optimize(INDArray, INDArray, INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
optimize(LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
Optimize call.
optimize(LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
 
optimizer - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
optimizer - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
optimizeWhenIterationCountMultipleOf(int) - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
optimizeWhenPointDistributionVariationRateLessThan(double) - Method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
order - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
order - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
order - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
order - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
orderedLayers - Variable in class org.deeplearning4j.nn.updater.graph.ComputationGraphUpdater
 
ordering - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
org.ansj.app.crf - package org.ansj.app.crf
 
org.ansj.app.crf.model - package org.ansj.app.crf.model
 
org.ansj.app.crf.pojo - package org.ansj.app.crf.pojo
 
org.ansj.app.keyword - package org.ansj.app.keyword
 
org.ansj.app.summary - package org.ansj.app.summary
 
org.ansj.app.summary.pojo - package org.ansj.app.summary.pojo
 
org.ansj.dic - package org.ansj.dic
 
org.ansj.dic.impl - package org.ansj.dic.impl
 
org.ansj.domain - package org.ansj.domain
 
org.ansj.exception - package org.ansj.exception
 
org.ansj.library - package org.ansj.library
 
org.ansj.library.company - package org.ansj.library.company
 
org.ansj.library.name - package org.ansj.library.name
 
org.ansj.recognition - package org.ansj.recognition
 
org.ansj.recognition.arrimpl - package org.ansj.recognition.arrimpl
 
org.ansj.recognition.impl - package org.ansj.recognition.impl
 
org.ansj.splitWord - package org.ansj.splitWord
 
org.ansj.splitWord.analysis - package org.ansj.splitWord.analysis
 
org.ansj.splitWord.impl - package org.ansj.splitWord.impl
 
org.ansj.util - package org.ansj.util
 
org.deeplearning4j - package org.deeplearning4j
 
org.deeplearning4j.api.storage - package org.deeplearning4j.api.storage
 
org.deeplearning4j.api.storage.impl - package org.deeplearning4j.api.storage.impl
 
org.deeplearning4j.api.storage.listener - package org.deeplearning4j.api.storage.listener
 
org.deeplearning4j.aws.dataset - package org.deeplearning4j.aws.dataset
 
org.deeplearning4j.aws.ec2 - package org.deeplearning4j.aws.ec2
 
org.deeplearning4j.aws.ec2.provision - package org.deeplearning4j.aws.ec2.provision
 
org.deeplearning4j.aws.emr - package org.deeplearning4j.aws.emr
 
org.deeplearning4j.aws.s3 - package org.deeplearning4j.aws.s3
 
org.deeplearning4j.aws.s3.reader - package org.deeplearning4j.aws.s3.reader
 
org.deeplearning4j.aws.s3.uploader - package org.deeplearning4j.aws.s3.uploader
 
org.deeplearning4j.bagofwords.vectorizer - package org.deeplearning4j.bagofwords.vectorizer
 
org.deeplearning4j.base - package org.deeplearning4j.base
 
org.deeplearning4j.clustering.algorithm - package org.deeplearning4j.clustering.algorithm
 
org.deeplearning4j.clustering.cluster - package org.deeplearning4j.clustering.cluster
 
org.deeplearning4j.clustering.condition - package org.deeplearning4j.clustering.condition
 
org.deeplearning4j.clustering.info - package org.deeplearning4j.clustering.info
 
org.deeplearning4j.clustering.iteration - package org.deeplearning4j.clustering.iteration
 
org.deeplearning4j.clustering.kdtree - package org.deeplearning4j.clustering.kdtree
 
org.deeplearning4j.clustering.kmeans - package org.deeplearning4j.clustering.kmeans
 
org.deeplearning4j.clustering.lsh - package org.deeplearning4j.clustering.lsh
 
org.deeplearning4j.clustering.optimisation - package org.deeplearning4j.clustering.optimisation
 
org.deeplearning4j.clustering.quadtree - package org.deeplearning4j.clustering.quadtree
 
org.deeplearning4j.clustering.randomprojection - package org.deeplearning4j.clustering.randomprojection
 
org.deeplearning4j.clustering.sptree - package org.deeplearning4j.clustering.sptree
 
org.deeplearning4j.clustering.strategy - package org.deeplearning4j.clustering.strategy
 
org.deeplearning4j.clustering.util - package org.deeplearning4j.clustering.util
 
org.deeplearning4j.clustering.vptree - package org.deeplearning4j.clustering.vptree
Created by agibsonccc on 1/3/15.
org.deeplearning4j.datasets - package org.deeplearning4j.datasets
 
org.deeplearning4j.datasets.datavec - package org.deeplearning4j.datasets.datavec
 
org.deeplearning4j.datasets.datavec.exception - package org.deeplearning4j.datasets.datavec.exception
 
org.deeplearning4j.datasets.fetchers - package org.deeplearning4j.datasets.fetchers
 
org.deeplearning4j.datasets.iterator - package org.deeplearning4j.datasets.iterator
 
org.deeplearning4j.datasets.iterator.callbacks - package org.deeplearning4j.datasets.iterator.callbacks
 
org.deeplearning4j.datasets.iterator.file - package org.deeplearning4j.datasets.iterator.file
 
org.deeplearning4j.datasets.iterator.impl - package org.deeplearning4j.datasets.iterator.impl
 
org.deeplearning4j.datasets.iterator.parallel - package org.deeplearning4j.datasets.iterator.parallel
 
org.deeplearning4j.datasets.mnist - package org.deeplearning4j.datasets.mnist
 
org.deeplearning4j.datasets.rearrange - package org.deeplearning4j.datasets.rearrange
 
org.deeplearning4j.datasets.test - package org.deeplearning4j.datasets.test
 
org.deeplearning4j.datasets.vectorizer - package org.deeplearning4j.datasets.vectorizer
 
org.deeplearning4j.earlystopping - package org.deeplearning4j.earlystopping
 
org.deeplearning4j.earlystopping.listener - package org.deeplearning4j.earlystopping.listener
 
org.deeplearning4j.earlystopping.saver - package org.deeplearning4j.earlystopping.saver
 
org.deeplearning4j.earlystopping.scorecalc - package org.deeplearning4j.earlystopping.scorecalc
 
org.deeplearning4j.earlystopping.scorecalc.base - package org.deeplearning4j.earlystopping.scorecalc.base
 
org.deeplearning4j.earlystopping.termination - package org.deeplearning4j.earlystopping.termination
 
org.deeplearning4j.earlystopping.trainer - package org.deeplearning4j.earlystopping.trainer
 
org.deeplearning4j.eval - package org.deeplearning4j.eval
 
org.deeplearning4j.eval.curves - package org.deeplearning4j.eval.curves
 
org.deeplearning4j.eval.meta - package org.deeplearning4j.eval.meta
 
org.deeplearning4j.eval.serde - package org.deeplearning4j.eval.serde
 
org.deeplearning4j.evaluation - package org.deeplearning4j.evaluation
 
org.deeplearning4j.exception - package org.deeplearning4j.exception
 
org.deeplearning4j.gradientcheck - package org.deeplearning4j.gradientcheck
 
org.deeplearning4j.graph.api - package org.deeplearning4j.graph.api
 
org.deeplearning4j.graph.data - package org.deeplearning4j.graph.data
 
org.deeplearning4j.graph.data.impl - package org.deeplearning4j.graph.data.impl
 
org.deeplearning4j.graph.exception - package org.deeplearning4j.graph.exception
 
org.deeplearning4j.graph.graph - package org.deeplearning4j.graph.graph
 
org.deeplearning4j.graph.iterator - package org.deeplearning4j.graph.iterator
 
org.deeplearning4j.graph.iterator.parallel - package org.deeplearning4j.graph.iterator.parallel
 
org.deeplearning4j.graph.models - package org.deeplearning4j.graph.models
 
org.deeplearning4j.graph.models.deepwalk - package org.deeplearning4j.graph.models.deepwalk
 
org.deeplearning4j.graph.models.embeddings - package org.deeplearning4j.graph.models.embeddings
 
org.deeplearning4j.graph.models.loader - package org.deeplearning4j.graph.models.loader
 
org.deeplearning4j.graph.vertexfactory - package org.deeplearning4j.graph.vertexfactory
 
org.deeplearning4j.iterator - package org.deeplearning4j.iterator
 
org.deeplearning4j.iterator.provider - package org.deeplearning4j.iterator.provider
 
org.deeplearning4j.models.embeddings - package org.deeplearning4j.models.embeddings
 
org.deeplearning4j.models.embeddings.inmemory - package org.deeplearning4j.models.embeddings.inmemory
 
org.deeplearning4j.models.embeddings.learning - package org.deeplearning4j.models.embeddings.learning
 
org.deeplearning4j.models.embeddings.learning.impl.elements - package org.deeplearning4j.models.embeddings.learning.impl.elements
 
org.deeplearning4j.models.embeddings.learning.impl.sequence - package org.deeplearning4j.models.embeddings.learning.impl.sequence
 
org.deeplearning4j.models.embeddings.loader - package org.deeplearning4j.models.embeddings.loader
 
org.deeplearning4j.models.embeddings.reader - package org.deeplearning4j.models.embeddings.reader
 
org.deeplearning4j.models.embeddings.reader.impl - package org.deeplearning4j.models.embeddings.reader.impl
 
org.deeplearning4j.models.embeddings.wordvectors - package org.deeplearning4j.models.embeddings.wordvectors
 
org.deeplearning4j.models.glove - package org.deeplearning4j.models.glove
 
org.deeplearning4j.models.glove.count - package org.deeplearning4j.models.glove.count
 
org.deeplearning4j.models.node2vec - package org.deeplearning4j.models.node2vec
 
org.deeplearning4j.models.paragraphvectors - package org.deeplearning4j.models.paragraphvectors
 
org.deeplearning4j.models.sequencevectors - package org.deeplearning4j.models.sequencevectors
 
org.deeplearning4j.models.sequencevectors.enums - package org.deeplearning4j.models.sequencevectors.enums
 
org.deeplearning4j.models.sequencevectors.graph.enums - package org.deeplearning4j.models.sequencevectors.graph.enums
 
org.deeplearning4j.models.sequencevectors.graph.exception - package org.deeplearning4j.models.sequencevectors.graph.exception
 
org.deeplearning4j.models.sequencevectors.graph.huffman - package org.deeplearning4j.models.sequencevectors.graph.huffman
 
org.deeplearning4j.models.sequencevectors.graph.primitives - package org.deeplearning4j.models.sequencevectors.graph.primitives
 
org.deeplearning4j.models.sequencevectors.graph.vertex - package org.deeplearning4j.models.sequencevectors.graph.vertex
 
org.deeplearning4j.models.sequencevectors.graph.walkers - package org.deeplearning4j.models.sequencevectors.graph.walkers
 
org.deeplearning4j.models.sequencevectors.graph.walkers.impl - package org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
org.deeplearning4j.models.sequencevectors.interfaces - package org.deeplearning4j.models.sequencevectors.interfaces
 
org.deeplearning4j.models.sequencevectors.iterators - package org.deeplearning4j.models.sequencevectors.iterators
 
org.deeplearning4j.models.sequencevectors.listeners - package org.deeplearning4j.models.sequencevectors.listeners
 
org.deeplearning4j.models.sequencevectors.sequence - package org.deeplearning4j.models.sequencevectors.sequence
 
org.deeplearning4j.models.sequencevectors.serialization - package org.deeplearning4j.models.sequencevectors.serialization
 
org.deeplearning4j.models.sequencevectors.transformers - package org.deeplearning4j.models.sequencevectors.transformers
 
org.deeplearning4j.models.sequencevectors.transformers.impl - package org.deeplearning4j.models.sequencevectors.transformers.impl
 
org.deeplearning4j.models.sequencevectors.transformers.impl.iterables - package org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
 
org.deeplearning4j.models.word2vec - package org.deeplearning4j.models.word2vec
 
org.deeplearning4j.models.word2vec.iterator - package org.deeplearning4j.models.word2vec.iterator
 
org.deeplearning4j.models.word2vec.wordstore - package org.deeplearning4j.models.word2vec.wordstore
 
org.deeplearning4j.models.word2vec.wordstore.inmemory - package org.deeplearning4j.models.word2vec.wordstore.inmemory
 
org.deeplearning4j.nearestneighbor.client - package org.deeplearning4j.nearestneighbor.client
 
org.deeplearning4j.nearestneighbor.model - package org.deeplearning4j.nearestneighbor.model
 
org.deeplearning4j.nearestneighbor.server - package org.deeplearning4j.nearestneighbor.server
 
org.deeplearning4j.nn.api - package org.deeplearning4j.nn.api
 
org.deeplearning4j.nn.api.layers - package org.deeplearning4j.nn.api.layers
 
org.deeplearning4j.nn.conf - package org.deeplearning4j.nn.conf
 
org.deeplearning4j.nn.conf.constraint - package org.deeplearning4j.nn.conf.constraint
 
org.deeplearning4j.nn.conf.distribution - package org.deeplearning4j.nn.conf.distribution
 
org.deeplearning4j.nn.conf.distribution.serde - package org.deeplearning4j.nn.conf.distribution.serde
 
org.deeplearning4j.nn.conf.dropout - package org.deeplearning4j.nn.conf.dropout
 
org.deeplearning4j.nn.conf.graph - package org.deeplearning4j.nn.conf.graph
 
org.deeplearning4j.nn.conf.graph.rnn - package org.deeplearning4j.nn.conf.graph.rnn
 
org.deeplearning4j.nn.conf.inputs - package org.deeplearning4j.nn.conf.inputs
 
org.deeplearning4j.nn.conf.layers - package org.deeplearning4j.nn.conf.layers
 
org.deeplearning4j.nn.conf.layers.convolutional - package org.deeplearning4j.nn.conf.layers.convolutional
 
org.deeplearning4j.nn.conf.layers.misc - package org.deeplearning4j.nn.conf.layers.misc
 
org.deeplearning4j.nn.conf.layers.objdetect - package org.deeplearning4j.nn.conf.layers.objdetect
 
org.deeplearning4j.nn.conf.layers.recurrent - package org.deeplearning4j.nn.conf.layers.recurrent
 
org.deeplearning4j.nn.conf.layers.samediff - package org.deeplearning4j.nn.conf.layers.samediff
 
org.deeplearning4j.nn.conf.layers.util - package org.deeplearning4j.nn.conf.layers.util
 
org.deeplearning4j.nn.conf.layers.variational - package org.deeplearning4j.nn.conf.layers.variational
 
org.deeplearning4j.nn.conf.layers.wrapper - package org.deeplearning4j.nn.conf.layers.wrapper
 
org.deeplearning4j.nn.conf.memory - package org.deeplearning4j.nn.conf.memory
 
org.deeplearning4j.nn.conf.module - package org.deeplearning4j.nn.conf.module
 
org.deeplearning4j.nn.conf.ocnn - package org.deeplearning4j.nn.conf.ocnn
 
org.deeplearning4j.nn.conf.preprocessor - package org.deeplearning4j.nn.conf.preprocessor
 
org.deeplearning4j.nn.conf.serde - package org.deeplearning4j.nn.conf.serde
 
org.deeplearning4j.nn.conf.serde.legacyformat - package org.deeplearning4j.nn.conf.serde.legacyformat
 
org.deeplearning4j.nn.conf.stepfunctions - package org.deeplearning4j.nn.conf.stepfunctions
 
org.deeplearning4j.nn.conf.weightnoise - package org.deeplearning4j.nn.conf.weightnoise
 
org.deeplearning4j.nn.gradient - package org.deeplearning4j.nn.gradient
 
org.deeplearning4j.nn.graph - package org.deeplearning4j.nn.graph
 
org.deeplearning4j.nn.graph.util - package org.deeplearning4j.nn.graph.util
 
org.deeplearning4j.nn.graph.vertex - package org.deeplearning4j.nn.graph.vertex
 
org.deeplearning4j.nn.graph.vertex.impl - package org.deeplearning4j.nn.graph.vertex.impl
 
org.deeplearning4j.nn.graph.vertex.impl.rnn - package org.deeplearning4j.nn.graph.vertex.impl.rnn
 
org.deeplearning4j.nn.layers - package org.deeplearning4j.nn.layers
 
org.deeplearning4j.nn.layers.convolution - package org.deeplearning4j.nn.layers.convolution
 
org.deeplearning4j.nn.layers.convolution.subsampling - package org.deeplearning4j.nn.layers.convolution.subsampling
 
org.deeplearning4j.nn.layers.convolution.upsampling - package org.deeplearning4j.nn.layers.convolution.upsampling
 
org.deeplearning4j.nn.layers.feedforward.autoencoder - package org.deeplearning4j.nn.layers.feedforward.autoencoder
 
org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive - package org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive
 
org.deeplearning4j.nn.layers.feedforward.dense - package org.deeplearning4j.nn.layers.feedforward.dense
 
org.deeplearning4j.nn.layers.feedforward.elementwise - package org.deeplearning4j.nn.layers.feedforward.elementwise
 
org.deeplearning4j.nn.layers.feedforward.embedding - package org.deeplearning4j.nn.layers.feedforward.embedding
 
org.deeplearning4j.nn.layers.normalization - package org.deeplearning4j.nn.layers.normalization
 
org.deeplearning4j.nn.layers.objdetect - package org.deeplearning4j.nn.layers.objdetect
 
org.deeplearning4j.nn.layers.ocnn - package org.deeplearning4j.nn.layers.ocnn
 
org.deeplearning4j.nn.layers.pooling - package org.deeplearning4j.nn.layers.pooling
 
org.deeplearning4j.nn.layers.recurrent - package org.deeplearning4j.nn.layers.recurrent
 
org.deeplearning4j.nn.layers.samediff - package org.deeplearning4j.nn.layers.samediff
 
org.deeplearning4j.nn.layers.training - package org.deeplearning4j.nn.layers.training
 
org.deeplearning4j.nn.layers.util - package org.deeplearning4j.nn.layers.util
 
org.deeplearning4j.nn.layers.variational - package org.deeplearning4j.nn.layers.variational
 
org.deeplearning4j.nn.layers.wrapper - package org.deeplearning4j.nn.layers.wrapper
 
org.deeplearning4j.nn.modelexport.solr.ltr.model - package org.deeplearning4j.nn.modelexport.solr.ltr.model
 
org.deeplearning4j.nn.modelimport.keras - package org.deeplearning4j.nn.modelimport.keras
 
org.deeplearning4j.nn.modelimport.keras.config - package org.deeplearning4j.nn.modelimport.keras.config
 
org.deeplearning4j.nn.modelimport.keras.exceptions - package org.deeplearning4j.nn.modelimport.keras.exceptions
 
org.deeplearning4j.nn.modelimport.keras.layers - package org.deeplearning4j.nn.modelimport.keras.layers
 
org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations - package org.deeplearning4j.nn.modelimport.keras.layers.advanced.activations
 
org.deeplearning4j.nn.modelimport.keras.layers.convolutional - package org.deeplearning4j.nn.modelimport.keras.layers.convolutional
 
org.deeplearning4j.nn.modelimport.keras.layers.core - package org.deeplearning4j.nn.modelimport.keras.layers.core
 
org.deeplearning4j.nn.modelimport.keras.layers.custom - package org.deeplearning4j.nn.modelimport.keras.layers.custom
 
org.deeplearning4j.nn.modelimport.keras.layers.embeddings - package org.deeplearning4j.nn.modelimport.keras.layers.embeddings
 
org.deeplearning4j.nn.modelimport.keras.layers.noise - package org.deeplearning4j.nn.modelimport.keras.layers.noise
 
org.deeplearning4j.nn.modelimport.keras.layers.normalization - package org.deeplearning4j.nn.modelimport.keras.layers.normalization
 
org.deeplearning4j.nn.modelimport.keras.layers.pooling - package org.deeplearning4j.nn.modelimport.keras.layers.pooling
 
org.deeplearning4j.nn.modelimport.keras.layers.recurrent - package org.deeplearning4j.nn.modelimport.keras.layers.recurrent
 
org.deeplearning4j.nn.modelimport.keras.layers.wrappers - package org.deeplearning4j.nn.modelimport.keras.layers.wrappers
 
org.deeplearning4j.nn.modelimport.keras.preprocessors - package org.deeplearning4j.nn.modelimport.keras.preprocessors
 
org.deeplearning4j.nn.modelimport.keras.utils - package org.deeplearning4j.nn.modelimport.keras.utils
 
org.deeplearning4j.nn.multilayer - package org.deeplearning4j.nn.multilayer
 
org.deeplearning4j.nn.params - package org.deeplearning4j.nn.params
 
org.deeplearning4j.nn.simple.binary - package org.deeplearning4j.nn.simple.binary
 
org.deeplearning4j.nn.simple.multiclass - package org.deeplearning4j.nn.simple.multiclass
 
org.deeplearning4j.nn.transferlearning - package org.deeplearning4j.nn.transferlearning
 
org.deeplearning4j.nn.updater - package org.deeplearning4j.nn.updater
 
org.deeplearning4j.nn.updater.graph - package org.deeplearning4j.nn.updater.graph
 
org.deeplearning4j.nn.weights - package org.deeplearning4j.nn.weights
 
org.deeplearning4j.nn.workspace - package org.deeplearning4j.nn.workspace
 
org.deeplearning4j.optimize - package org.deeplearning4j.optimize
 
org.deeplearning4j.optimize.api - package org.deeplearning4j.optimize.api
 
org.deeplearning4j.optimize.listeners - package org.deeplearning4j.optimize.listeners
 
org.deeplearning4j.optimize.listeners.callbacks - package org.deeplearning4j.optimize.listeners.callbacks
 
org.deeplearning4j.optimize.listeners.checkpoint - package org.deeplearning4j.optimize.listeners.checkpoint
 
org.deeplearning4j.optimize.solvers - package org.deeplearning4j.optimize.solvers
 
org.deeplearning4j.optimize.solvers.accumulation - package org.deeplearning4j.optimize.solvers.accumulation
 
org.deeplearning4j.optimize.stepfunctions - package org.deeplearning4j.optimize.stepfunctions
 
org.deeplearning4j.optimize.terminations - package org.deeplearning4j.optimize.terminations
 
org.deeplearning4j.parallelism - package org.deeplearning4j.parallelism
 
org.deeplearning4j.parallelism.factory - package org.deeplearning4j.parallelism.factory
 
org.deeplearning4j.parallelism.inference - package org.deeplearning4j.parallelism.inference
 
org.deeplearning4j.parallelism.inference.observers - package org.deeplearning4j.parallelism.inference.observers
 
org.deeplearning4j.parallelism.main - package org.deeplearning4j.parallelism.main
 
org.deeplearning4j.parallelism.parameterserver - package org.deeplearning4j.parallelism.parameterserver
 
org.deeplearning4j.parallelism.trainer - package org.deeplearning4j.parallelism.trainer
 
org.deeplearning4j.perf.listener - package org.deeplearning4j.perf.listener
 
org.deeplearning4j.plot - package org.deeplearning4j.plot
 
org.deeplearning4j.spark.api - package org.deeplearning4j.spark.api
 
org.deeplearning4j.spark.api.stats - package org.deeplearning4j.spark.api.stats
 
org.deeplearning4j.spark.api.worker - package org.deeplearning4j.spark.api.worker
 
org.deeplearning4j.spark.data - package org.deeplearning4j.spark.data
 
org.deeplearning4j.spark.data.shuffle - package org.deeplearning4j.spark.data.shuffle
 
org.deeplearning4j.spark.datavec - package org.deeplearning4j.spark.datavec
 
org.deeplearning4j.spark.datavec.export - package org.deeplearning4j.spark.datavec.export
 
org.deeplearning4j.spark.datavec.iterator - package org.deeplearning4j.spark.datavec.iterator
 
org.deeplearning4j.spark.earlystopping - package org.deeplearning4j.spark.earlystopping
 
org.deeplearning4j.spark.impl - package org.deeplearning4j.spark.impl
 
org.deeplearning4j.spark.impl.common - package org.deeplearning4j.spark.impl.common
 
org.deeplearning4j.spark.impl.common.reduce - package org.deeplearning4j.spark.impl.common.reduce
 
org.deeplearning4j.spark.impl.common.repartition - package org.deeplearning4j.spark.impl.common.repartition
 
org.deeplearning4j.spark.impl.common.score - package org.deeplearning4j.spark.impl.common.score
 
org.deeplearning4j.spark.impl.graph - package org.deeplearning4j.spark.impl.graph
 
org.deeplearning4j.spark.impl.graph.dataset - package org.deeplearning4j.spark.impl.graph.dataset
 
org.deeplearning4j.spark.impl.graph.evaluation - package org.deeplearning4j.spark.impl.graph.evaluation
 
org.deeplearning4j.spark.impl.graph.scoring - package org.deeplearning4j.spark.impl.graph.scoring
 
org.deeplearning4j.spark.impl.listeners - package org.deeplearning4j.spark.impl.listeners
 
org.deeplearning4j.spark.impl.multilayer - package org.deeplearning4j.spark.impl.multilayer
 
org.deeplearning4j.spark.impl.multilayer.evaluation - package org.deeplearning4j.spark.impl.multilayer.evaluation
 
org.deeplearning4j.spark.impl.multilayer.scoring - package org.deeplearning4j.spark.impl.multilayer.scoring
 
org.deeplearning4j.spark.impl.paramavg - package org.deeplearning4j.spark.impl.paramavg
 
org.deeplearning4j.spark.impl.paramavg.aggregator - package org.deeplearning4j.spark.impl.paramavg.aggregator
 
org.deeplearning4j.spark.impl.paramavg.stats - package org.deeplearning4j.spark.impl.paramavg.stats
 
org.deeplearning4j.spark.impl.paramavg.util - package org.deeplearning4j.spark.impl.paramavg.util
 
org.deeplearning4j.spark.iterator - package org.deeplearning4j.spark.iterator
 
org.deeplearning4j.spark.models.embeddings.glove - package org.deeplearning4j.spark.models.embeddings.glove
 
org.deeplearning4j.spark.models.embeddings.glove.cooccurrences - package org.deeplearning4j.spark.models.embeddings.glove.cooccurrences
 
org.deeplearning4j.spark.models.embeddings.word2vec - package org.deeplearning4j.spark.models.embeddings.word2vec
 
org.deeplearning4j.spark.models.paragraphvectors - package org.deeplearning4j.spark.models.paragraphvectors
 
org.deeplearning4j.spark.models.paragraphvectors.functions - package org.deeplearning4j.spark.models.paragraphvectors.functions
 
org.deeplearning4j.spark.models.sequencevectors - package org.deeplearning4j.spark.models.sequencevectors
 
org.deeplearning4j.spark.models.sequencevectors.export - package org.deeplearning4j.spark.models.sequencevectors.export
 
org.deeplearning4j.spark.models.sequencevectors.export.impl - package org.deeplearning4j.spark.models.sequencevectors.export.impl
 
org.deeplearning4j.spark.models.sequencevectors.functions - package org.deeplearning4j.spark.models.sequencevectors.functions
 
org.deeplearning4j.spark.models.sequencevectors.learning - package org.deeplearning4j.spark.models.sequencevectors.learning
 
org.deeplearning4j.spark.models.sequencevectors.learning.elements - package org.deeplearning4j.spark.models.sequencevectors.learning.elements
 
org.deeplearning4j.spark.models.sequencevectors.learning.sequence - package org.deeplearning4j.spark.models.sequencevectors.learning.sequence
 
org.deeplearning4j.spark.models.sequencevectors.primitives - package org.deeplearning4j.spark.models.sequencevectors.primitives
 
org.deeplearning4j.spark.models.word2vec - package org.deeplearning4j.spark.models.word2vec
 
org.deeplearning4j.spark.ordering - package org.deeplearning4j.spark.ordering
 
org.deeplearning4j.spark.parameterserver - package org.deeplearning4j.spark.parameterserver
 
org.deeplearning4j.spark.parameterserver.accumulation - package org.deeplearning4j.spark.parameterserver.accumulation
 
org.deeplearning4j.spark.parameterserver.callbacks - package org.deeplearning4j.spark.parameterserver.callbacks
 
org.deeplearning4j.spark.parameterserver.conf - package org.deeplearning4j.spark.parameterserver.conf
 
org.deeplearning4j.spark.parameterserver.functions - package org.deeplearning4j.spark.parameterserver.functions
 
org.deeplearning4j.spark.parameterserver.iterators - package org.deeplearning4j.spark.parameterserver.iterators
 
org.deeplearning4j.spark.parameterserver.networking - package org.deeplearning4j.spark.parameterserver.networking
 
org.deeplearning4j.spark.parameterserver.networking.messages - package org.deeplearning4j.spark.parameterserver.networking.messages
 
org.deeplearning4j.spark.parameterserver.pw - package org.deeplearning4j.spark.parameterserver.pw
 
org.deeplearning4j.spark.parameterserver.training - package org.deeplearning4j.spark.parameterserver.training
 
org.deeplearning4j.spark.parameterserver.util - package org.deeplearning4j.spark.parameterserver.util
 
org.deeplearning4j.spark.stats - package org.deeplearning4j.spark.stats
 
org.deeplearning4j.spark.text.accumulators - package org.deeplearning4j.spark.text.accumulators
 
org.deeplearning4j.spark.text.functions - package org.deeplearning4j.spark.text.functions
 
org.deeplearning4j.spark.time - package org.deeplearning4j.spark.time
 
org.deeplearning4j.spark.util - package org.deeplearning4j.spark.util
 
org.deeplearning4j.spark.util.data - package org.deeplearning4j.spark.util.data
 
org.deeplearning4j.spark.util.data.validation - package org.deeplearning4j.spark.util.data.validation
 
org.deeplearning4j.spark.util.serde - package org.deeplearning4j.spark.util.serde
 
org.deeplearning4j.streaming.conversion.dataset - package org.deeplearning4j.streaming.conversion.dataset
 
org.deeplearning4j.streaming.conversion.ndarray - package org.deeplearning4j.streaming.conversion.ndarray
 
org.deeplearning4j.streaming.kafka - package org.deeplearning4j.streaming.kafka
 
org.deeplearning4j.streaming.routes - package org.deeplearning4j.streaming.routes
 
org.deeplearning4j.text.annotator - package org.deeplearning4j.text.annotator
 
org.deeplearning4j.text.corpora.sentiwordnet - package org.deeplearning4j.text.corpora.sentiwordnet
 
org.deeplearning4j.text.corpora.treeparser - package org.deeplearning4j.text.corpora.treeparser
 
org.deeplearning4j.text.corpora.treeparser.transformer - package org.deeplearning4j.text.corpora.treeparser.transformer
 
org.deeplearning4j.text.documentiterator - package org.deeplearning4j.text.documentiterator
 
org.deeplearning4j.text.documentiterator.interoperability - package org.deeplearning4j.text.documentiterator.interoperability
 
org.deeplearning4j.text.inputsanitation - package org.deeplearning4j.text.inputsanitation
 
org.deeplearning4j.text.invertedindex - package org.deeplearning4j.text.invertedindex
 
org.deeplearning4j.text.labels - package org.deeplearning4j.text.labels
 
org.deeplearning4j.text.movingwindow - package org.deeplearning4j.text.movingwindow
 
org.deeplearning4j.text.sentenceiterator - package org.deeplearning4j.text.sentenceiterator
 
org.deeplearning4j.text.sentenceiterator.interoperability - package org.deeplearning4j.text.sentenceiterator.interoperability
 
org.deeplearning4j.text.sentenceiterator.labelaware - package org.deeplearning4j.text.sentenceiterator.labelaware
 
org.deeplearning4j.text.stopwords - package org.deeplearning4j.text.stopwords
 
org.deeplearning4j.text.tokenization.tokenizer - package org.deeplearning4j.text.tokenization.tokenizer
 
org.deeplearning4j.text.tokenization.tokenizer.preprocessor - package org.deeplearning4j.text.tokenization.tokenizer.preprocessor
 
org.deeplearning4j.text.tokenization.tokenizerfactory - package org.deeplearning4j.text.tokenization.tokenizerfactory
 
org.deeplearning4j.text.tokenization.tokenizerFactory - package org.deeplearning4j.text.tokenization.tokenizerFactory
 
org.deeplearning4j.text.uima - package org.deeplearning4j.text.uima
 
org.deeplearning4j.ui - package org.deeplearning4j.ui
 
org.deeplearning4j.ui.activation - package org.deeplearning4j.ui.activation
 
org.deeplearning4j.ui.api - package org.deeplearning4j.ui.api
 
org.deeplearning4j.ui.components.chart - package org.deeplearning4j.ui.components.chart
 
org.deeplearning4j.ui.components.chart.style - package org.deeplearning4j.ui.components.chart.style
 
org.deeplearning4j.ui.components.component - package org.deeplearning4j.ui.components.component
 
org.deeplearning4j.ui.components.component.style - package org.deeplearning4j.ui.components.component.style
 
org.deeplearning4j.ui.components.decorator - package org.deeplearning4j.ui.components.decorator
 
org.deeplearning4j.ui.components.decorator.style - package org.deeplearning4j.ui.components.decorator.style
 
org.deeplearning4j.ui.components.table - package org.deeplearning4j.ui.components.table
 
org.deeplearning4j.ui.components.table.style - package org.deeplearning4j.ui.components.table.style
 
org.deeplearning4j.ui.components.text - package org.deeplearning4j.ui.components.text
 
org.deeplearning4j.ui.components.text.style - package org.deeplearning4j.ui.components.text.style
 
org.deeplearning4j.ui.exception - package org.deeplearning4j.ui.exception
 
org.deeplearning4j.ui.i18n - package org.deeplearning4j.ui.i18n
 
org.deeplearning4j.ui.module.convolutional - package org.deeplearning4j.ui.module.convolutional
 
org.deeplearning4j.ui.module.defaultModule - package org.deeplearning4j.ui.module.defaultModule
 
org.deeplearning4j.ui.module.remote - package org.deeplearning4j.ui.module.remote
 
org.deeplearning4j.ui.module.train - package org.deeplearning4j.ui.module.train
 
org.deeplearning4j.ui.module.tsne - package org.deeplearning4j.ui.module.tsne
 
org.deeplearning4j.ui.nearestneighbors.word2vec - package org.deeplearning4j.ui.nearestneighbors.word2vec
 
org.deeplearning4j.ui.play - package org.deeplearning4j.ui.play
 
org.deeplearning4j.ui.play.misc - package org.deeplearning4j.ui.play.misc
 
org.deeplearning4j.ui.play.staticroutes - package org.deeplearning4j.ui.play.staticroutes
 
org.deeplearning4j.ui.providers - package org.deeplearning4j.ui.providers
 
org.deeplearning4j.ui.renders - package org.deeplearning4j.ui.renders
 
org.deeplearning4j.ui.standalone - package org.deeplearning4j.ui.standalone
 
org.deeplearning4j.ui.stats - package org.deeplearning4j.ui.stats
 
org.deeplearning4j.ui.stats.api - package org.deeplearning4j.ui.stats.api
 
org.deeplearning4j.ui.stats.impl - package org.deeplearning4j.ui.stats.impl
 
org.deeplearning4j.ui.stats.impl.java - package org.deeplearning4j.ui.stats.impl.java
 
org.deeplearning4j.ui.stats.sbe - package org.deeplearning4j.ui.stats.sbe
 
org.deeplearning4j.ui.storage - package org.deeplearning4j.ui.storage
 
org.deeplearning4j.ui.storage.impl - package org.deeplearning4j.ui.storage.impl
 
org.deeplearning4j.ui.storage.mapdb - package org.deeplearning4j.ui.storage.mapdb
 
org.deeplearning4j.ui.storage.sqlite - package org.deeplearning4j.ui.storage.sqlite
 
org.deeplearning4j.ui.weights - package org.deeplearning4j.ui.weights
 
org.deeplearning4j.ui.weights.beans - package org.deeplearning4j.ui.weights.beans
 
org.deeplearning4j.util - package org.deeplearning4j.util
 
org.deeplearning4j.zoo - package org.deeplearning4j.zoo
 
org.deeplearning4j.zoo.model - package org.deeplearning4j.zoo.model
 
org.deeplearning4j.zoo.model.helper - package org.deeplearning4j.zoo.model.helper
 
org.deeplearning4j.zoo.util - package org.deeplearning4j.zoo.util
 
org.deeplearning4j.zoo.util.darknet - package org.deeplearning4j.zoo.util.darknet
 
org.deeplearning4j.zoo.util.imagenet - package org.deeplearning4j.zoo.util.imagenet
 
originalModel(Model) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
originalModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
originalModel - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
OrthogonalDistribution - Class in org.deeplearning4j.nn.conf.distribution
Orthogonal distribution.
OrthogonalDistribution(double) - Constructor for class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
Create a log-normal distribution with the given mean and std
otherInfo - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
otherPenalty(int, int) - Method in class com.atilika.kuromoji.ipadic.Tokenizer.Builder
Sets a custom non-kanji penalty
output(Model, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
output(Model, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
output(MultiLayerNetwork, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator
 
output(MultiLayerNetwork, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator
 
output(T, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
output(T, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
output(Model, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
output(Model, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
output(Model, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
output(Model, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
output(Model, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
output(Model, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
output(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return an array of network outputs (predictions) at test time, given the specified network inputs Network outputs are for output layers only.
output(boolean, INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return an array of network outputs (predictions), given the specified network inputs Network outputs are for output layers only.
output(boolean, INDArray[], INDArray[]) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return an array of network outputs (predictions), given the specified network inputs Network outputs are for output layers only.
output(boolean, INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Return an array of network outputs (predictions), given the specified network inputs Network outputs are for output layers only.
output(boolean, boolean, INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
An output method for the network, with optional clearing of the layer inputs.
Note: most users should use ComputationGraph.output(boolean, INDArray...) or similar methods, unless they are doing non-standard operations (like providing the input arrays externally)
output(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Generate the output for all examples/batches in the input iterator, and concatenate them into a single array per network output
output(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Generate the output for all examples/batches in the input iterator, and concatenate them into a single array per network output
output(INDArray, Layer.TrainingMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Label the probabilities of the input
output(INDArray, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Label the probabilities of the input
output(INDArray, boolean, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate the output of the network, with masking arrays.
output(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Label the probabilities of the input
output(DataSetIterator, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Generate the output for all examples/batches in the input iterator, and concatenate them into a single array
output(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Generate the output for all examples/batches in the input iterator, and concatenate them into a single array
output(double[]) - Method in class org.deeplearning4j.parallelism.ParallelInference
 
output(float[]) - Method in class org.deeplearning4j.parallelism.ParallelInference
 
output(INDArray) - Method in class org.deeplearning4j.parallelism.ParallelInference
 
output(INDArray, INDArray) - Method in class org.deeplearning4j.parallelism.ParallelInference
 
output(DataSet) - Method in class org.deeplearning4j.parallelism.ParallelInference
 
output(INDArray...) - Method in class org.deeplearning4j.parallelism.ParallelInference
Generate predictions/output from the netwonk
output(INDArray[], INDArray[]) - Method in class org.deeplearning4j.parallelism.ParallelInference
Generate predictions/outputs from the network, optionally using input masks for predictions
outputDirectory(File) - Method in class org.deeplearning4j.perf.listener.SystemPolling.Builder
The output directory for the files
outputFromFeaturized(INDArray[]) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Use to get the output from a featurized input
outputFromFeaturized(INDArray) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Use to get the output from a featurized input
outputKeys - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
OutputLayer - Class in org.deeplearning4j.nn.conf.layers
Output layer with different objective co-occurrences for different objectives.
OutputLayer(OutputLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.OutputLayer
 
OutputLayer - Class in org.deeplearning4j.nn.layers
Output layer with different objective incooccurrences for different objectives.
OutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.OutputLayer
 
OutputLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.OutputLayer
 
OutputLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
outputLayerNames - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
outputOfLayerDetached(boolean, FwdPassType, int, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Provide the output of the specified layer, detached from any workspace.
outputOfLayersDetached(boolean, FwdPassType, int[], INDArray[], INDArray[], INDArray[], boolean, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Provide the output of the specified layers, detached from any workspace.
outputScore(Model, float[]) - Static method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
Currently supports MultiLayerNetwork and ComputationGraph models.
outputSingle(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
A convenience method that returns a single INDArray, instead of an INDArray[].
outputSingle(boolean, INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
A convenience method that returns a single INDArray, instead of an INDArray[].
outputSingle(boolean, boolean, INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Identical to ComputationGraph.outputSingle(boolean, boolean, INDArray...) but has the option of not clearing the input arrays (useful when later backpropagating external errors).
outputSingle(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Generate the output for all examples/batches in the input iterator, and concatenate them into a single array.
outputSingle(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Generate the output for all examples/batches in the input iterator, and concatenate them into a single array.
outputTypes - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
outputUri - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
outputUris - Variable in class org.deeplearning4j.BasePipeline
 
outputUris() - Method in class org.deeplearning4j.BasePipeline
 
outputUris() - Method in interface org.deeplearning4j.Pipeline
Output destinations
outputUris() - Method in class org.deeplearning4j.StreamingPipeline
 
outputVertex - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
outputVertices - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
A representation of the vertices that this vertex is connected to (outputs duing forward pass) Specifically, if outputVertices[X].getVertexIndex() = Y, and outputVertices[X].getVertexEdgeNumber() = Z then the output of this vertex (there is only one output) is connected to the Zth input of vertex Y
outWeights - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
overlap(double, double, double, double) - Static method in class org.deeplearning4j.nn.layers.objdetect.YoloUtils
Returns overlap between lines [x1, x2] and [x3.
overshot - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
ownCounter - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
oz - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 

P

padding(int) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
Set padding size for 3D convolutions in (depth, height, width) order
padding - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
padding - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
padding - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
padding(int[][]) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer.Builder
 
padding - Variable in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
padding(int) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
Padding
padding - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
Padding
padding - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
padding - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
padding(int...) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
Padding
padding - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
paginate(String, BucketKeyListener) - Method in class org.deeplearning4j.aws.s3.reader.S3Downloader
Paginates through a bucket's keys invoking the listener at each key
PairDataSetToMultiDataSetFn<K> - Class in org.deeplearning4j.spark.impl.graph.dataset
Simple conversion function to convert from a JavaPairRDD<K,DataSet> to a JavaPairRDD<K,MultiDataSet>
PairDataSetToMultiDataSetFn() - Constructor for class org.deeplearning4j.spark.impl.graph.dataset.PairDataSetToMultiDataSetFn
 
PairToArrayPair<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Simple conversion function for SparkComputationGraph
PairToArrayPair() - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.PairToArrayPair
 
ParagraphVectors - Class in org.deeplearning4j.models.paragraphvectors
Basic ParagraphVectors (aka Doc2Vec) implementation for DL4j, as wrapper over SequenceVectors
ParagraphVectors() - Constructor for class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
ParagraphVectors.BlindInferenceCallable - Class in org.deeplearning4j.models.paragraphvectors
 
ParagraphVectors.Builder - Class in org.deeplearning4j.models.paragraphvectors
 
ParagraphVectors.InferenceCallable - Class in org.deeplearning4j.models.paragraphvectors
 
parallelCounter() - Static method in class org.deeplearning4j.text.movingwindow.Util
Returns a thread safe counter
parallelCounterMap() - Static method in class org.deeplearning4j.text.movingwindow.Util
Returns a thread safe counter map
ParallelInference - Class in org.deeplearning4j.parallelism
This class is simple wrapper for ParallelInference using batched input
ParallelInference() - Constructor for class org.deeplearning4j.parallelism.ParallelInference
 
ParallelInference.Builder - Class in org.deeplearning4j.parallelism
 
ParallelInference.ObservablesProvider - Class in org.deeplearning4j.parallelism
 
parallelTasks(List<Runnable>, ExecutorService) - Static method in class org.deeplearning4j.clustering.util.MultiThreadUtils
 
ParallelTransformerIterator - Class in org.deeplearning4j.models.sequencevectors.transformers.impl.iterables
TransformerIterator implementation that's does transformation/tokenization/normalization/whatever in parallel threads.
ParallelTransformerIterator(LabelAwareIterator, SentenceTransformer) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
ParallelTransformerIterator(LabelAwareIterator, SentenceTransformer, boolean) - Constructor for class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
ParallelWrapper - Class in org.deeplearning4j.parallelism
This is simple data-parallel wrapper suitable for multi-cpu/multi-gpu environments.
ParallelWrapper(Model, int, int) - Constructor for class org.deeplearning4j.parallelism.ParallelWrapper
 
parallelWrapper(ParallelWrapper) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
parallelWrapper - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
ParallelWrapper.Builder<T extends Model> - Class in org.deeplearning4j.parallelism
 
ParallelWrapper.TrainingMode - Enum in org.deeplearning4j.parallelism
 
ParallelWrapperMain - Class in org.deeplearning4j.parallelism.main
Parallelwrapper main class.
ParallelWrapperMain() - Constructor for class org.deeplearning4j.parallelism.main.ParallelWrapperMain
 
param - Variable in class org.ansj.domain.AnsjItem
 
ParamAndGradientIterationListener - Class in org.deeplearning4j.optimize.listeners
An iteration listener that provides details on parameters and gradients at each iteration during traning.
ParamAndGradientIterationListener() - Constructor for class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener
Default constructor for output to console only every iteration, tab delimited
ParamAndGradientIterationListener(int, boolean, boolean, boolean, boolean, boolean, boolean, boolean, File, String) - Constructor for class org.deeplearning4j.optimize.listeners.ParamAndGradientIterationListener
Full constructor with all options.
PARAMETER_AVERAGING_MASTER_AGGREGATE_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_BROADCAST_CREATE_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_COUNT_RDD_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_EXPORT_RDD_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_FIT_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_MAP_PARTITIONS_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_PROCESS_PARAMS_UPDATER_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_REPARTITION_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_MASTER_SPLIT_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
PARAMETER_AVERAGING_WORKER_BROADCAST_GET_VALUE_TIME_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
PARAMETER_AVERAGING_WORKER_FIT_TIMES_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
PARAMETER_AVERAGING_WORKER_INIT_TIME_MS - Static variable in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
ParameterAveragingAggregationTuple - Class in org.deeplearning4j.spark.impl.paramavg.aggregator
Simple helper tuple used to execute parameter averaging
ParameterAveragingAggregationTuple() - Constructor for class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingAggregationTuple
 
ParameterAveragingElementAddFunction - Class in org.deeplearning4j.spark.impl.paramavg.aggregator
Add function for parameter averaging
ParameterAveragingElementAddFunction() - Constructor for class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingElementAddFunction
 
ParameterAveragingElementCombineFunction - Class in org.deeplearning4j.spark.impl.paramavg.aggregator
Function used in ParameterAveraging TrainingMaster, for doing parameter averaging, and handling updaters
ParameterAveragingElementCombineFunction() - Constructor for class org.deeplearning4j.spark.impl.paramavg.aggregator.ParameterAveragingElementCombineFunction
 
ParameterAveragingTrainingMaster - Class in org.deeplearning4j.spark.impl.paramavg
ParameterAveragingTrainingMaster: A TrainingMaster implementation for training networks on Spark.
ParameterAveragingTrainingMaster() - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
ParameterAveragingTrainingMaster(ParameterAveragingTrainingMaster.Builder) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
ParameterAveragingTrainingMaster(boolean, Integer, int, int, int, int) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
ParameterAveragingTrainingMaster(boolean, Integer, int, int, int, int, int, Repartition, RepartitionStrategy, boolean) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
ParameterAveragingTrainingMaster(boolean, Integer, int, int, int, int, int, Repartition, RepartitionStrategy, StorageLevel, boolean) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
ParameterAveragingTrainingMaster.Builder - Class in org.deeplearning4j.spark.impl.paramavg
 
ParameterAveragingTrainingMasterStats - Class in org.deeplearning4j.spark.impl.paramavg.stats
Statistics collected by a ParameterAveragingTrainingMaster
ParameterAveragingTrainingMasterStats(SparkTrainingStats, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>, List<EventStats>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper - Class in org.deeplearning4j.spark.impl.paramavg.stats
 
ParameterAveragingTrainingMasterStatsHelper() - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats.ParameterAveragingTrainingMasterStatsHelper
 
ParameterAveragingTrainingResult - Class in org.deeplearning4j.spark.impl.paramavg
The results (parameters, optional updaters) returned by a ParameterAveragingTrainingWorker to the ParameterAveragingTrainingMaster
ParameterAveragingTrainingResult(INDArray, INDArray, double, Collection<StorageMetaData>, Collection<Persistable>, Collection<Persistable>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingResult
 
ParameterAveragingTrainingResult(INDArray, INDArray, double, SparkTrainingStats, Collection<StorageMetaData>, Collection<Persistable>, Collection<Persistable>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingResult
 
ParameterAveragingTrainingWorker - Class in org.deeplearning4j.spark.impl.paramavg
ParameterAveragingTrainingWorker implements standard parameter averaging every m iterations.
ParameterAveragingTrainingWorker(Broadcast<NetBroadcastTuple>, boolean, WorkerConfiguration, Collection<TrainingHook>, Collection<TrainingListener>, StatsStorageRouterProvider) - Constructor for class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
ParameterAveragingTrainingWorkerStats - Class in org.deeplearning4j.spark.impl.paramavg.stats
Statistics collected by ParameterAveragingTrainingWorker instances
ParameterAveragingTrainingWorkerStats(List<EventStats>, List<EventStats>, List<EventStats>) - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper - Class in org.deeplearning4j.spark.impl.paramavg.stats
 
ParameterAveragingTrainingWorkerStatsHelper() - Constructor for class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats.ParameterAveragingTrainingWorkerStatsHelper
 
ParameterServerSubscriber - Class in org.deeplearning4j.spark.parameterserver
Created by agibsonccc on 9/27/16.
ParameterServerSubscriber() - Constructor for class org.deeplearning4j.spark.parameterserver.ParameterServerSubscriber
 
ParameterServerTrainer - Class in org.deeplearning4j.parallelism.parameterserver
Using an ParameterServerClient we maintain updates for training a neural net.
ParameterServerTrainer() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
 
ParameterServerTrainer.ParameterServerTrainerBuilder - Class in org.deeplearning4j.parallelism.parameterserver
 
ParameterServerTrainerBuilder() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
ParameterServerTrainerContext - Class in org.deeplearning4j.parallelism.parameterserver
Used for creating and running ParallelWrapper with ParameterServerTrainer workers.
ParameterServerTrainerContext() - Constructor for class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainerContext
 
ParameterServerTrainingHook - Class in org.deeplearning4j.spark.parameterserver
Training hook for the parameter server
ParameterServerTrainingHook() - Constructor for class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook
 
ParamInitializer - Interface in org.deeplearning4j.nn.api
Param initializer for a layer
paramKeys(Layer) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Get a list of all parameter keys given the layer configuration
paramKeys(Layer) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
paramKeys(Layer) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
paramName() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramName(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
paramNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
paramNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
paramNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
paramNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
paramNames() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
paramNamesCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
ParamNamesDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
paramNamesDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
ParamNamesEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
paramNamesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
paramReshapeOrder(String) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
Returns the memory layout ('c' or 'f' order - i.e., row/column major) of the parameters.
params() - Method in interface org.deeplearning4j.nn.api.Model
Parameters of the model (if any)
params() - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method returns model parameters as single INDArray
params - Variable in class org.deeplearning4j.nn.conf.constraint.BaseConstraint
 
params(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the parameters for the ComputationGraph
params() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
params() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
Returns the parameters of the neural network as a flattened row vector
params() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
params - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
params() - Method in class org.deeplearning4j.nn.layers.BaseLayer
Returns the parameters of the neural network as a flattened row vector
params() - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
params() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
params() - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
params() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
params() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
params() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
params - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
params() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
Returns the parameters of the neural network as a flattened row vector
params - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
params() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
params() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
params(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns a 1 x m vector where the vector is composed of a flattened vector of all of the weights for the various neuralNets(w,hbias NOT VBIAS) and output layer
params() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns a 1 x m vector where the vector is composed of a flattened vector of all of the weights for the various neuralNets(w,hbias NOT VBIAS) and output layer
params() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
params - Variable in class org.deeplearning4j.spark.impl.common.score.BaseVaeScoreWithKeyFunctionAdapter
 
params - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
PARAMS_KEY - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
paramServer - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
paramServer - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
paramServerConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
paramServerConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
paramServerConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
paramsFlattened - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
paramsFlattened - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
ParamState() - Constructor for class org.deeplearning4j.nn.updater.UpdaterBlock.ParamState
 
paramTable() - Method in interface org.deeplearning4j.nn.api.Model
The param table
paramTable(boolean) - Method in interface org.deeplearning4j.nn.api.Model
Table of parameters by key, for backprop For many models (dense layers, etc) - all parameters are backprop parameters
paramTable() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
paramTable() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
paramTable() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
paramTable() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
paramTable - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
paramTable() - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
paramTable() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
paramTable() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
paramTable() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
paramTable(boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
paramTable() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
paramTable(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
parent(Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns the parent of the passed in tree via traversal
parent() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
parse(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
parse(String) - Method in class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
 
parse(String) - Method in class com.atilika.kuromoji.util.UnknownDictionaryEntryParser
 
parse(String) - Static method in class org.ansj.splitWord.analysis.BaseAnalysis
 
parse(String) - Static method in class org.ansj.splitWord.analysis.DicAnalysis
 
parse(String, Forest...) - Static method in class org.ansj.splitWord.analysis.DicAnalysis
 
parse(String) - Static method in class org.ansj.splitWord.analysis.IndexAnalysis
 
parse(String, Forest...) - Static method in class org.ansj.splitWord.analysis.IndexAnalysis
 
parse(String) - Static method in class org.ansj.splitWord.analysis.NlpAnalysis
 
parse(String, Forest...) - Static method in class org.ansj.splitWord.analysis.NlpAnalysis
 
parse() - Method in class org.ansj.splitWord.Analysis
通过构造方法传入的reader直接获取到分词结果
parse(String) - Static method in class org.ansj.splitWord.analysis.ToAnalysis
 
parse(String, Forest...) - Static method in class org.ansj.splitWord.analysis.ToAnalysis
 
ParseException - Exception in org.deeplearning4j.graph.exception
Unchecked exception signifying that an error occurred during parsing of text
ParseException() - Constructor for exception org.deeplearning4j.graph.exception.ParseException
 
ParseException(String) - Constructor for exception org.deeplearning4j.graph.exception.ParseException
 
ParseException(String, Exception) - Constructor for exception org.deeplearning4j.graph.exception.ParseException
 
ParseException - Exception in org.deeplearning4j.models.sequencevectors.graph.exception
Unchecked exception signifying that an error occurred during parsing of text
ParseException() - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.ParseException
 
ParseException(String) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.ParseException
 
ParseException(String, Exception) - Constructor for exception org.deeplearning4j.models.sequencevectors.graph.exception.ParseException
 
parseJsonString(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Convenience function for parsing JSON strings.
parseLine(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser
Parse CSV line
parseModelConfig(String, String) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Parse Keras model configuration from JSON or YAML string representation
parseNature(Term) - Static method in class org.ansj.util.TermUtil
得到细颗粒度的分词,并且确定词性
parseStr(String) - Method in class org.ansj.splitWord.Analysis
一句话进行分词并且封装
parseYamlString(String) - Static method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelUtils
Convenience function for parsing YAML strings.
PART_OF_SPEECH_FEATURE - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
PART_OF_SPEECH_LEVEL_1 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
PART_OF_SPEECH_LEVEL_2 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
PART_OF_SPEECH_LEVEL_3 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
PART_OF_SPEECH_LEVEL_4 - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
parties - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
parties - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
parties - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
PartitionCountEventStats - Class in org.deeplearning4j.spark.stats
Event stats implementation with partition count
PartitionCountEventStats(long, long, int) - Constructor for class org.deeplearning4j.spark.stats.PartitionCountEventStats
 
PartitionCountEventStats(String, String, long, long, long, int) - Constructor for class org.deeplearning4j.spark.stats.PartitionCountEventStats
 
PartitionTrainingFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
PartitionTrainingFunction(Broadcast<VocabCache<ShallowSequenceElement>>, Broadcast<VectorsConfiguration>, Broadcast<VoidConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
partitionVariable(List<Double>, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Deprecated.
not thread-safe, unused, see https://github.com/deeplearning4j/deeplearning4j/issues/3797
partOfSpeechFeature - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
passDataSet(DataSet) - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
passDataSet(MultiDataSet) - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
path - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.HdfsModelExporter
 
path - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
PathSparkDataSetIterator - Class in org.deeplearning4j.spark.iterator
A DataSetIterator that loads serialized DataSet objects (saved with DataSet.save(OutputStream)) from a String that represents the path (for example, on HDFS)
PathSparkDataSetIterator(Iterator<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
PathSparkDataSetIterator(Collection<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
PathSparkMultiDataSetIterator - Class in org.deeplearning4j.spark.iterator
A DataSetIterator that loads serialized DataSet objects (saved with MultiDataSet.save(OutputStream)) from a String that represents the path (for example, on HDFS)
PathSparkMultiDataSetIterator(Iterator<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
PathSparkMultiDataSetIterator(Collection<String>) - Constructor for class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
PathToDataSetFunction - Class in org.deeplearning4j.spark.data
Simple function used to load DataSets (serialized with DataSet.save()) from a given Path (as a String) to a DataSet object - i.e., RDD<String> to RDD<DataSet>
PathToDataSetFunction() - Constructor for class org.deeplearning4j.spark.data.PathToDataSetFunction
 
PathToMultiDataSetFunction - Class in org.deeplearning4j.spark.data
Simple function used to load MultiDataSets (serialized with MultiDataSet.save()) from a given Path (as a String) to a MultiDataSet object - i.e., RDD<String> to RDD<MultiDataSet>
PathToMultiDataSetFunction() - Constructor for class org.deeplearning4j.spark.data.PathToMultiDataSetFunction
 
PathToStream - Class in org.ansj.dic
将路径转换为流,如果你需要实现自己的加载器请实现这个类,使用这个类可能需要自己依赖第三方包,比如jdbc连接和nutz
PathToStream() - Constructor for class org.ansj.dic.PathToStream
 
PathUpdate - Class in org.deeplearning4j.ui.activation
 
PathUpdate() - Constructor for class org.deeplearning4j.ui.activation.PathUpdate
 
PathUpdate - Class in org.deeplearning4j.ui.renders
 
PathUpdate() - Constructor for class org.deeplearning4j.ui.renders.PathUpdate
 
PatriciaNode(String, V, int) - Constructor for class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Constructs a new node
PatriciaTrie<V> - Class in com.atilika.kuromoji.trie
Convenient and compact structure for storing key-value pairs and quickly looking them up, including doing prefix searches
PatriciaTrie() - Constructor for class com.atilika.kuromoji.trie.PatriciaTrie
Constructs and empty trie
PatriciaTrie.KeyMapper<K> - Interface in com.atilika.kuromoji.trie
Generic interface to map a key to bits
PatriciaTrie.PatriciaNode<V> - Class in com.atilika.kuromoji.trie
Nodes used in a PatriciaTrie containing a String key and associated value data
PatriciaTrie.StringKeyMapper - Class in com.atilika.kuromoji.trie
A PatriciaTrie.KeyMapper mapping Strings to bits
PatriciaTrieFormatter<V> - Class in com.atilika.kuromoji.trie
Utility class to format a PatriciaTrie to dot format for debugging, inspection, etc.
PatriciaTrieFormatter() - Constructor for class com.atilika.kuromoji.trie.PatriciaTrieFormatter
Constructor
pattern0 - Static variable in class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
 
pattern1 - Static variable in class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
 
PdsIterator - Class in org.deeplearning4j.spark.parameterserver.iterators
 
PdsIterator(Iterator<PortableDataStream>, PortableDataStreamCallback) - Constructor for class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
pearsonCorrelation(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
Pearson Correlation Coefficient for samples
peek() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
peek() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
peek() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
peersConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
penalties - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
performance() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
performance() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
performance(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
performanceCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
PerformanceDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
performanceDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
PerformanceEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
performanceId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
PerformanceListener - Class in org.deeplearning4j.optimize.listeners
Simple IterationListener that tracks time spend on training per iteration.
PerformanceListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.PerformanceListener
 
PerformanceListener(int, boolean) - Constructor for class org.deeplearning4j.optimize.listeners.PerformanceListener
 
PerformanceListener.Builder - Class in org.deeplearning4j.optimize.listeners
 
permutation(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the permutation of n choose r.
PermutePreprocessor - Class in org.deeplearning4j.nn.modelimport.keras.preprocessors
Preprocessor to permute input data according to specified permutation indices.
PermutePreprocessor(int[]) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.PermutePreprocessor
 
perParameterStats() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
perParameterStatsCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
PerParameterStatsDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
perParameterStatsDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
PerParameterStatsEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
perParameterStatsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
perplexity(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
perplexity - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
perplexity - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
perplexity(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
perplexity - Variable in class org.deeplearning4j.plot.Tsne
 
Persistable - Interface in org.deeplearning4j.api.storage
Created by Alex on 07/10/2016.
personAttr - Variable in class org.ansj.domain.TermNatures
人名词性
PersonAttrLibrary - Class in org.ansj.library.name
人名标注所用的词典就是简单的hashmap简单方便谁用谁知道,只在加载词典的时候用
PersonAttrLibrary() - Constructor for class org.ansj.library.name.PersonAttrLibrary
 
PersonNatureAttr - Class in org.ansj.domain
人名标注pojo类
PersonNatureAttr() - Constructor for class org.ansj.domain.PersonNatureAttr
 
pickTraining(SilentUpdatesMessage) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
Pipeline - Interface in org.deeplearning4j
A pipeline consists of a set of input,output, and datavec uris.
PlayUIServer - Class in org.deeplearning4j.ui.play
A UI server based on the Play framework
PlayUIServer() - Constructor for class org.deeplearning4j.ui.play.PlayUIServer
 
PlayUIServer(int) - Constructor for class org.deeplearning4j.ui.play.PlayUIServer
 
plot(INDArray, int, List<String>, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
plot(INDArray, int, List<String>, String) - Method in class org.deeplearning4j.plot.Tsne
 
plotVocab(BarnesHutTsne, int, File) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
plotVocab(int, File) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Render the words via tsne
plotVocab(int, UiConnectionInfo) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Render the words via tsne
plotVocab(BarnesHutTsne, int, UiConnectionInfo) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Render the words via TSNE
plotVocab(BarnesHutTsne, int, UiConnectionInfo) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Render the words via TSNE
plotVocab(BarnesHutTsne, int, File) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Render the words via TSNE
plotVocab(int, UiConnectionInfo) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Render the words via tsne
plotVocab(int, File) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Render the words via tsne
pnorm(int) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
P-norm constant.
pnorm - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
pnorm(int) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
pnorm - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
pNormNxN(int, int, int) - Static method in class org.deeplearning4j.zoo.model.helper.FaceNetHelper
 
Point - Class in org.deeplearning4j.clustering.cluster
 
Point(INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
 
Point(String, INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
 
Point(String, String, double[]) - Constructor for class org.deeplearning4j.clustering.cluster.Point
 
Point(String, String, INDArray) - Constructor for class org.deeplearning4j.clustering.cluster.Point
 
point(INDArray) - Static method in class org.deeplearning4j.clustering.kdtree.HyperRect
 
Point() - Constructor for class org.deeplearning4j.eval.curves.PrecisionRecallCurve.Point
 
POINT_WISE_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
PointClassification - Class in org.deeplearning4j.clustering.cluster
 
PointClassification() - Constructor for class org.deeplearning4j.clustering.cluster.PointClassification
 
pointOf(Collection<Writable>) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Returns a labeled point of the writables where the final item is the point and the rest of the items are features
points - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
pointSize - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
pointSize(double) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
Point size, for scatter plot etc
pointSize - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
pointWiseConstraints - Variable in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
poll() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
poll(long, TimeUnit) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
poll(long, TimeUnit) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method is supposed to be called from managed thread, attached to specific device.
poll() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method is supposed to be called from managed thread, attached to specific device.
poll() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
pollEveryMillis(long) - Method in class org.deeplearning4j.perf.listener.SystemPolling.Builder
The interval in milliseconds in which to poll the system for diagnostics
PoolHelperVertex - Class in org.deeplearning4j.nn.conf.graph
Removes the first column and row from an input.
PoolHelperVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.PoolHelperVertex
 
PoolHelperVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
A custom layer for removing the first column and row from an input.
PoolHelperVertex(ComputationGraph, String, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
PoolHelperVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
Pooling1D - Class in org.deeplearning4j.nn.conf.layers
1D Pooling layer.
Pooling1D() - Constructor for class org.deeplearning4j.nn.conf.layers.Pooling1D
 
Pooling2D - Class in org.deeplearning4j.nn.conf.layers
2D Pooling layer.
Pooling2D() - Constructor for class org.deeplearning4j.nn.conf.layers.Pooling2D
 
poolingDimensions(int...) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
Pooling dimensions.
poolingType(PoolingType) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer.Builder
 
PoolingType - Enum in org.deeplearning4j.nn.conf.layers
Created by Alex on 17/01/2017.
poolingType - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
poolingType(Subsampling3DLayer.PoolingType) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
poolingType - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
poolingType - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
poolingType(SubsamplingLayer.PoolingType) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
poolingType - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
PopularityMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
This enum is used in PopularityWalker, and it defines which nodes will be considered for next hop.
popularityMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
 
popularityMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
PopularityWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This is vertex popularity-based walker for SequenceVectors-based DeepWalk implementation.
PopularityWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
PopularityWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
PopularityWalker.NodeComparator - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
port - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
PortableDataStreamCallback - Interface in org.deeplearning4j.spark.parameterserver.callbacks
 
PortableDataStreamDataSetIterator - Class in org.deeplearning4j.spark.iterator
A DataSetIterator that loads serialized DataSet objects (saved with DataSet.save(OutputStream)) from a PortableDataStream, usually obtained from SparkContext.binaryFiles()
PortableDataStreamDataSetIterator(Iterator<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
PortableDataStreamDataSetIterator(Collection<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
PortableDataStreamMDSCallback - Interface in org.deeplearning4j.spark.parameterserver.callbacks
 
PortableDataStreamMultiDataSetIterator - Class in org.deeplearning4j.spark.iterator
A DataSetIterator that loads serialized MultiDataSet objects (saved with MultiDataSet.save(OutputStream)) from a PortableDataStream, usually obtained from SparkContext.binaryFiles()
PortableDataStreamMultiDataSetIterator(Iterator<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
PortableDataStreamMultiDataSetIterator(Collection<PortableDataStream>) - Constructor for class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
pos(List<String>) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
POS_MAP_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
posInfo - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
posInfo - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
posInfos - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
position - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
position - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
position - Variable in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
position - Variable in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
position - Variable in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
positive() - Method in class org.deeplearning4j.eval.Evaluation
Returns all of the positive guesses: true positive + false negative
PoStagger - Class in org.deeplearning4j.text.annotator
 
PoStagger() - Constructor for class org.deeplearning4j.text.annotator.PoStagger
Initializes a new instance.
postApply(Layer, String, INDArray, INDArray) - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
Apply L1 and L2 regularization, if necessary.
postFirstStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
postInit() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
This method does post-initialization configuration of Model.
postInit() - Method in class org.deeplearning4j.parallelism.trainer.SymmetricTrainer
 
postProcessAnnotations(Span[], AnnotationFS[]) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
 
postReport(WebTarget, Entity) - Method in class org.deeplearning4j.ui.WebReporter
This method immediately sends UI report to specified target using POST request
postStep(INDArray) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
After the step has been made, do an action
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
Post step to update searchDirection with new gradient and parameter information
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.ConjugateGradient
 
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.LBFGS
 
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.LineGradientDescent
 
postStep(INDArray) - Method in class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
 
postUpdate(DataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook
A hook method for post update
postUpdate(MultiDataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook
A hook method for post update
postUpdate(DataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook
A hook method for post update
postUpdate(MultiDataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook
A hook method for post update
PosUimaTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Filter by part of speech tag.
PosUimaTokenizer(String, AnalysisEngine, Collection<String>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
PosUimaTokenizer(String, AnalysisEngine, Collection<String>, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
PosUimaTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Creates a tokenizer that filters by part of speech tags
PosUimaTokenizerFactory(Collection<String>, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
PosUimaTokenizerFactory(Collection<String>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
PosUimaTokenizerFactory(AnalysisEngine, Collection<String>) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
posValues - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
preApply(Layer, Gradient, int) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
Pre-apply: Apply gradient normalization/clipping
preciseWeightInit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
precision(Integer) - Method in class org.deeplearning4j.eval.Evaluation
Returns the precision for a given class label
precision(Integer, double) - Method in class org.deeplearning4j.eval.Evaluation
Returns the precision for a given label
precision() - Method in class org.deeplearning4j.eval.Evaluation
Precision based on guesses so far.
Note: value returned will differ depending on number of classes and settings.
1.
precision(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average precision for all classes.
precision(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the precision (tp / (tp + fp)) for the specified output
precision(long, long, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the precision from true positive and false positive counts
PrecisionRecallCurve - Class in org.deeplearning4j.eval.curves
Precision recall curve: A set of (recall, precision) points and different thresholds
PrecisionRecallCurve(double[], double[], double[], int[], int[], int[], int) - Constructor for class org.deeplearning4j.eval.curves.PrecisionRecallCurve
 
PrecisionRecallCurve.Confusion - Class in org.deeplearning4j.eval.curves
 
PrecisionRecallCurve.Point - Class in org.deeplearning4j.eval.curves
 
predict(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
Deprecated.
predict(LabelledDocument) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method predicts label of the document.
predict(List<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method predicts label of the document.
predict(INDArray) - Method in interface org.deeplearning4j.nn.api.Classifier
Takes in a list of examples For each row, returns a label
predict(DataSet) - Method in interface org.deeplearning4j.nn.api.Classifier
Takes in a DataSet of examples For each row, returns a label
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Returns the predictions for each example in the dataset
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
Return predicted label names
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
Returns the predictions for each example in the dataset
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.LossLayer
Return predicted label names
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
predict(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
predict(DataSet) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
predict(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Returns the predictions for each example in the dataset
predict(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Return predicted label names
predict(Matrix) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Predict the given feature matrix
predict(Vector) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Predict the given vector
Prediction - Class in org.deeplearning4j.eval.meta
Prediction: a prediction for classification, used with the Evaluation class.
Prediction() - Constructor for class org.deeplearning4j.eval.meta.Prediction
 
prediction() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
predictSeveral(LabelledDocument, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
Predict several labels based on the document.
predictSeveral(String, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
Predict several labels based on the document.
predictSeveral(List<VocabWord>, int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
Predict several labels based on the document.
prefetchBuffer(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Size of prefetch buffer that will be used for background data prefetching.
PrefetchingSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Deprecated.
PrefetchingSentenceIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
Deprecated.
 
prefetchNumBatches - Variable in class org.deeplearning4j.spark.api.WorkerConfiguration
 
prefetchNumBatches - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
prefetchNumBatches - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
prefetchSize - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
prefetchSize - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
prefetchSize - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
prefetchSize - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
prefetchSize - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
preloadedDataSet - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
preOutput - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
preOutput(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
preOutput(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution3DLayer
 
preOutput(INDArray, INDArray, INDArray, int[], int[], int[], ConvolutionLayer.AlgoMode, ConvolutionLayer.FwdAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.convolution.ConvolutionHelper
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
PreOutput method that also returns the im2col2d array (if being called for backprop), as this can be re-used instead of being calculated again.
preOutput(INDArray, INDArray, INDArray, int[], int[], int[], ConvolutionLayer.AlgoMode, ConvolutionLayer.FwdAlgo, ConvolutionMode, int[], LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.CudnnConvolutionHelper
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Deconvolution2DLayer
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.DepthwiseConvolution2DLayer
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
preOutput(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
preOutput(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.elementwise.ElementWiseMultiplicationLayer
 
preOutput(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingLayer
 
preOutput(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
preOutput(INDArray, Layer.TrainingMode, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
preOutput(INDArray, boolean, int[], INDArray, INDArray, INDArray, INDArray, double, double, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.layers.normalization.BatchNormalizationHelper
 
preOutput(INDArray, boolean, int[], INDArray, INDArray, INDArray, INDArray, double, double, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.normalization.CudnnBatchNormalizationHelper
 
preOutput(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
preOutput2d(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
preOutput2d(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
preOutput2d(boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
preOutput4d(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.Convolution1DLayer
 
preOutput4d(boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
preOutput4d: Used so that ConvolutionLayer subclasses (such as Convolution1DLayer) can maintain their standard non-4d preOutput method, while overriding this to return 4d activations (for use in backprop) without modifying the public API
prepareNetworkAndStuff(SparkDl4jMultiLayer, SparkComputationGraph) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
preProcess(MultiDataSet) - Method in class org.deeplearning4j.datasets.iterator.CombinedMultiDataSetPreProcessor
 
preProcess(DataSet) - Method in class org.deeplearning4j.datasets.iterator.CombinedPreProcessor
Pre process a dataset sequentially
preProcess(DataSet) - Method in class org.deeplearning4j.datasets.iterator.DummyPreProcessor
Pre process a dataset
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.conf.InputPreProcessor
Pre preProcess input/activations for a multi layer network
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.BinomialSamplingPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.Cnn3DToFeedForwardPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.CnnToRnnPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ComposableInputPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnn3DPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToCnnPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.FeedForwardToRnnPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanAndUnitVariancePreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanPrePreProcessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.KerasFlattenRnnPreprocessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.PermutePreprocessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
preProcess(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
preProcess(String) - Method in interface org.deeplearning4j.text.sentenceiterator.SentencePreProcessor
Pre process a sentence
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CommonPreprocessor
 
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.CustomStemmingPreprocessor
 
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EmbeddedStemmingPreprocessor
 
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.EndingPreProcessor
 
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.LowCasePreProcessor
Pre process a token
preProcess(String) - Method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.StemmingPreprocessor
 
preProcess(String) - Method in interface org.deeplearning4j.text.tokenization.tokenizer.TokenPreProcess
Pre process a token
preProcessLine() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Pre preProcess a line before an iteration
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
Pre preProcess to setup initial searchDirection approximation
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.ConjugateGradient
 
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.LBFGS
 
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.LineGradientDescent
 
preProcessLine() - Method in class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
 
preProcessor - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
preProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Optional arg.
preProcessor - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
preProcessor - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
preprocessor - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
preProcessor - Variable in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
PREPROCESSOR_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer
 
PreprocessorVertex - Class in org.deeplearning4j.nn.conf.graph
PreprocessorVertex is a simple adaptor class that allows a InputPreProcessor to be used in a ComputationGraph GraphVertex, without it being associated with a layer.
PreprocessorVertex(InputPreProcessor) - Constructor for class org.deeplearning4j.nn.conf.graph.PreprocessorVertex
 
PreprocessorVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
PreprocessorVertex is a simple adaptor class that allows a InputPreProcessor to be used in a ComputationGraph GraphVertex, without it being associated with a layer.
PreprocessorVertex(ComputationGraph, String, int, InputPreProcessor) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
PreprocessorVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], InputPreProcessor) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
presetTables() - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
presetTables() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method creates new WeightLookupTable and VocabCache if there were none set
pretrain(SequenceIterator<T>) - Method in interface org.deeplearning4j.models.embeddings.learning.ElementsLearningAlgorithm
 
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
CBOW doesn't involve any pretraining
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe
pretrain is used to build CoOccurrence matrix for GloVe algorithm
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
SkipGram doesn't involves any pretraining
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
DBOW doesn't involves any pretraining
pretrain(SequenceIterator<T>) - Method in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
pretrain(SequenceIterator<T>) - Method in interface org.deeplearning4j.models.embeddings.learning.SequenceLearningAlgorithm
 
pretrain - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
pretrain(boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Whether to do layerwise pre training or not
pretrain - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
pretrain - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
pretrain(boolean) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
Whether to do pre train or not
pretrain - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
pretrain - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
pretrain(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
pretrain - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
pretrain(DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Pretrain network with a single input and single output.
pretrain(MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Pretrain network with multiple inputs and/or outputs
pretrain(DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform layerwise pretraining on all pre-trainable layers in the network (VAEs, Autoencoders, etc)
Note that pretraining will be performed on one layer after the other, resetting the DataSetIterator between iterations.
For multiple epochs per layer, appropriately wrap the iterator (for example, a MultipleEpochsIterator) or train each layer manually using MultiLayerNetwork.pretrainLayer(int, DataSetIterator)
pretrain(boolean) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
pretrain - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
pretrain(SequenceIterator<ShallowSequenceElement>) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
pretrain(SequenceIterator<ShallowSequenceElement>) - Method in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
pretrainedAvailable(PretrainedType) - Method in class org.deeplearning4j.zoo.ZooModel
 
pretrainedChecksum(PretrainedType) - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.AlexNet
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.Darknet19
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.LeNet
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.NASNet
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.ResNet50
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.UNet
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.VGG16
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.VGG19
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.Xception
 
pretrainedChecksum(PretrainedType) - Method in class org.deeplearning4j.zoo.model.YOLO2
 
PretrainedType - Enum in org.deeplearning4j.zoo
Enumerator for choosing different models, and different types of models.
pretrainedUrl(PretrainedType) - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.AlexNet
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.Darknet19
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.LeNet
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.NASNet
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.ResNet50
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.UNet
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.VGG16
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.VGG19
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.Xception
 
pretrainedUrl(PretrainedType) - Method in class org.deeplearning4j.zoo.model.YOLO2
 
pretrainLayer(String, DataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Pretrain a specified layer with the given DataSetIterator
pretrainLayer(String, MultiDataSetIterator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Pretrain a specified layer with the given MultiDataSetIterator
pretrainLayer(int, DataSetIterator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform layerwise unsupervised training on a single pre-trainable layer in the network (VAEs, Autoencoders, etc)
If the specified layer index (0 to numLayers - 1) is not a pretrainable layer, this is a no-op.
pretrainLayer(int, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Perform layerwise unsupervised training on a single pre-trainable layer in the network (VAEs, Autoencoders, etc)
If the specified layer index (0 to numLayers - 1) is not a pretrainable layer, this is a no-op.
PretrainParamInitializer - Class in org.deeplearning4j.nn.params
Pretrain weight initializer.
PretrainParamInitializer() - Constructor for class org.deeplearning4j.nn.params.PretrainParamInitializer
 
preUpdate(DataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook
A hook method for pre update.
preUpdate(MultiDataSet, Model) - Method in interface org.deeplearning4j.spark.api.TrainingHook
A hook method for pre update.
preUpdate(DataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook
A hook method for pre update.
preUpdate(MultiDataSet, Model) - Method in class org.deeplearning4j.spark.parameterserver.ParameterServerTrainingHook
A hook method for pre update.
prev() - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
Move to the previous entry.
prevAct - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
prevImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Move the cursor to the previous image.
previous() - Method in class org.deeplearning4j.models.glove.count.RoundCount
 
prevMemCell - Variable in class org.deeplearning4j.nn.layers.recurrent.FwdPassReturn
 
PRINT_INDENT - Static variable in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Default indentation for SparkTrainingStats.statsAsString()
printConfiguration() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Prints the configuration
printFeatures(String[][]) - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
printFeatureTree(String, float[]) - Static method in class org.ansj.app.crf.Model
增加特征到特征数中
printGraph() - Method in class org.ansj.util.Graph
对graph进行调试用的
println(String) - Static method in class com.atilika.kuromoji.compile.ProgressLog
 
printOutProjectedMemoryUse(long, int, int) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
 
probRound(double, Random) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Rounds a double to the next nearest integer value in a probabilistic fashion (e.g.
probToLogOdds(double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns the log-odds for a given probability.
process(CAS) - Method in class org.deeplearning4j.text.annotator.PoStagger
Performs pos-tagging on the given tcas object.
process(JCas) - Method in class org.deeplearning4j.text.annotator.SentenceAnnotator
 
process(JCas) - Method in class org.deeplearning4j.text.annotator.StemmerAnnotator
 
process(CAS) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
 
process(String) - Method in class org.deeplearning4j.text.uima.UimaResource
Use the given analysis engine and process the given text You must release the return cas yourself
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.VectorsListener
This method is called at each epoch end
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
Deprecated.
 
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener
This method is called at each epoch end
processEvent(ListenerEvent, SequenceVectors<T>, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
 
processing - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
processLine(String) - Method in interface org.deeplearning4j.graph.data.EdgeLineProcessor
Process a line of text into an edge.
processLine(String) - Method in class org.deeplearning4j.graph.data.impl.DelimitedEdgeLineProcessor
 
processLine(String) - Method in class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
 
processMessage() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryConfirmation
 
processMessage() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
processMessage() - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
processMinibatch(DataSet, MultiLayerNetwork, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Process (fit) a minibatch for a MultiLayerNetwork
processMinibatch(DataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Process (fit) a minibatch for a ComputationGraph
processMinibatch(MultiDataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Process (fit) a minibatch for a ComputationGraph using a MultiDataSet
processMinibatch(DataSet, MultiLayerNetwork, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
processMinibatch(DataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
processMinibatch(MultiDataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
processMinibatch(DataSet, MultiLayerNetwork, boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
processMinibatch(DataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
processMinibatch(MultiDataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
processMinibatchWithStats(DataSet, MultiLayerNetwork, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
processMinibatchWithStats(DataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
processMinibatchWithStats(MultiDataSet, ComputationGraph, boolean) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
processMinibatchWithStats(DataSet, MultiLayerNetwork, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
processMinibatchWithStats(DataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
processMinibatchWithStats(MultiDataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
 
processMinibatchWithStats(DataSet, MultiLayerNetwork, boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
processMinibatchWithStats(DataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
processMinibatchWithStats(MultiDataSet, ComputationGraph, boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
processor(Processor) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
processResults(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<ParameterAveragingTrainingResult>, int, int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
processResults(SparkDl4jMultiLayer, SparkComputationGraph, JavaRDD<SharedTrainingResult>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
producerAffinity - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
ProgressLog - Class in com.atilika.kuromoji.compile
Simple progress logger
ProgressLog() - Constructor for class com.atilika.kuromoji.compile.ProgressLog
 
promptPassphrase(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
promptPassword(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
promptYesNo(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
PRONUNCIATION - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
properties - Variable in class org.deeplearning4j.aws.emr.EmrConfig
 
publish(INDArray[]) - Method in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
Publish an ndarray
publish(INDArray) - Method in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
Publish an ndarray
pullLastTimeSteps(INDArray, INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Extract out the last time steps (2d array from 3d array input) accounting for the mask layer, if present.
pullLastTimeSteps(INDArray, INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Extract out the last time steps (2d array from 3d array input) accounting for the mask layer, if present.
put(String, V) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Puts value into trie identifiable by key into this trie (key should be non-null)
put(String, String) - Static method in class org.ansj.library.AmbiguityLibrary
动态添加
put(String, String, Forest) - Static method in class org.ansj.library.AmbiguityLibrary
 
put(String, String) - Static method in class org.ansj.library.CrfLibrary
动态添加
put(String, String, SplitWord) - Static method in class org.ansj.library.CrfLibrary
 
put(String, String, Forest) - Static method in class org.ansj.library.DicLibrary
动态添加词典
put(String, String) - Static method in class org.ansj.library.DicLibrary
动态添加词典
put(String, String, StopRecognition) - Static method in class org.ansj.library.StopLibrary
动态添加词典
put(String, String) - Static method in class org.ansj.library.StopLibrary
动态添加词典
put(String, String) - Static method in class org.ansj.library.SynonymsLibrary
动态添加
put(String, String, SmartForest<List<String>>) - Static method in class org.ansj.library.SynonymsLibrary
 
put(E) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
put(T) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
putAll(Map<? extends String, ? extends V>) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Inserts all key and value entries in a map into this trie
putCode(int, INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
putCode(int, INDArray) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
 
putCost(short, short, short) - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
putDataSetMetaDataClassName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putDataSetMetaDataClassName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putDeviceDescription(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
putDeviceDescription(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
putEntries(List<BufferEntry>) - Method in class com.atilika.kuromoji.compile.TokenInfoBufferCompiler
 
putEnvKey(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
putEnvKey(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
putEnvValue(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
putEnvValue(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
putGcName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
putGcName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
putHwHardwareUID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putHwHardwareUID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putIfAbsent(String, String) - Static method in class org.ansj.library.AmbiguityLibrary
 
putIfAbsent(String, String) - Static method in class org.ansj.library.CrfLibrary
 
putIfAbsent(String, String) - Static method in class org.ansj.library.DicLibrary
动态添加词典
putIfAbsent(String, String, Forest) - Static method in class org.ansj.library.DicLibrary
动态添加词典
putIfAbsent(String, String) - Static method in class org.ansj.library.StopLibrary
动态添加词典
putIfAbsent(String, String, StopRecognition) - Static method in class org.ansj.library.StopLibrary
动态添加词典
putIfAbsent(String, String) - Static method in class org.ansj.library.SynonymsLibrary
 
putInitTypeClass(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putInitTypeClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putLayerName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
putLayerName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
putLibrary(String, String, Object) - Static method in class org.ansj.util.MyStaticValue
增加一个词典
putLibrary(String, String) - Static method in class org.ansj.util.MyStaticValue
懒加载一个词典
putMap(TreeMap<Integer, String>) - Method in class com.atilika.kuromoji.buffer.StringValueMapBuffer
 
putModelConfigClassName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putModelConfigClassName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putModelConfigJson(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putModelConfigJson(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putModelParamNames(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
putModelParamNames(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
putParamName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
putParamName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
putSessionID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSessionID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putSessionID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putSessionID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putStaticInfo(Persistable) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
putStaticInfo(Persistable) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
putStaticInfo(Persistable) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
Static info: reported once per session, upon initialization
putStaticInfo(Collection<? extends Persistable>) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
Static info: reported once per session, upon initialization
putStaticInfo(Persistable) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
putStaticInfo(Persistable) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
putStaticInfo(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
putStorageMetaData(StorageMetaData) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
Method to store some additional metadata for each session.
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
putStorageMetaData(StorageMetaData) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
putStorageMetaData(Collection<? extends StorageMetaData>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
putSwArch(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwArch(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwHostName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwHostName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmSpecVersion(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmSpecVersion(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmUID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmUID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmVersion(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwJvmVersion(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwNd4jBackendClass(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwNd4jBackendClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwNd4jDataTypeName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwNd4jDataTypeName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwOsName(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putSwOsName(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putTypeID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putTypeID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putTypeID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putTypeID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putUpdate(Persistable) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.CollectionStatsStorageRouter
 
putUpdate(Persistable) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
putUpdate(Persistable) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
Updates: stored multiple times per session (periodically, for example)
putUpdate(Collection<? extends Persistable>) - Method in interface org.deeplearning4j.api.storage.StatsStorageRouter
Updates: stored multiple times per session (periodically, for example)
putUpdate(Persistable) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage
 
putUpdate(Persistable) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
putUpdate(Collection<? extends Persistable>) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
putUpdateTypeClass(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putUpdateTypeClass(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putVector(String, INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Inserts a word vector
putVector(String, INDArray) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Inserts a word vector
putVocabWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Deprecated.
putVocabWord(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
putVocabWord(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Deprecated.
putWorkerID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
putWorkerID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
putWorkerID(DirectBuffer, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
putWorkerID(byte[], int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
PXZ_B - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
Key for bias parameters connecting the last decoder layer and p(data|z) (according to whatever ReconstructionDistribution is set for the VAE)
PXZ_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
PXZ_W - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
Key for weight parameters connecting the last decoder layer and p(data|z) (according to whatever ReconstructionDistribution is set for the VAE)
PZX_LOGSTD2_B - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
Key for bias parameters for log(sigma^2) in p(z|data)
PZX_LOGSTD2_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
PZX_LOGSTD2_W - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
Key for weight parameters connecting the last encoder layer and the log(sigma^2) values for p(z|data)
PZX_MEAN_B - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
Key for bias parameters for the mean values for p(z|data)
PZX_MEAN_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
PZX_MEAN_W - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
Key for weight parameters connecting the last encoder layer and the mean values for p(z|data)
PZX_PREFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
pzxActivationFn(IActivation) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Activation function for the input to P(z|data).
Care should be taken with this, as some activation functions (relu, etc) are not suitable due to being bounded in range [0,infinity).
pzxActivationFn - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
pzxActivationFunction(Activation) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
Activation function for the input to P(z|data).
Care should be taken with this, as some activation functions (relu, etc) are not suitable due to being bounded in range [0,infinity).

Q

QuadTree - Class in org.deeplearning4j.clustering.quadtree
QuadTree: http://en.wikipedia.org/wiki/Quadtree Reference impl based on the paper by: http://arxiv.org/pdf/1301.3342v2.pdf Primarily focused on 2 dimensions, may expand later if there's a reason.
QuadTree(INDArray) - Constructor for class org.deeplearning4j.clustering.quadtree.QuadTree
Pass in a matrix
QuadTree(QuadTree, INDArray, Cell) - Constructor for class org.deeplearning4j.clustering.quadtree.QuadTree
 
QuadTree(Cell) - Constructor for class org.deeplearning4j.clustering.quadtree.QuadTree
 
query(INDArray, int) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
 
query(RPNode, RPHyperPlanes, INDArray, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Query the tree starting from the given node using the given hyper plane and similarity function
queryAll(INDArray, int) - Method in class org.deeplearning4j.clustering.randomprojection.RPForest
Query results up to length n nearest neighbors
queryAll(INDArray, INDArray, List<RPTree>, int, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Query all trees using the given input and data
queryAllWithDistances(INDArray, INDArray, List<RPTree>, int, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Query all trees using the given input and data
queryWithDistances(INDArray, int) - Method in class org.deeplearning4j.clustering.randomprojection.RPForest
Query all with the distances sorted by index
queryWithDistances(INDArray, int) - Method in class org.deeplearning4j.clustering.randomprojection.RPTree
Query all with the distances sorted by index
queue(LinkedBlockingQueue<DataSet>) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
queue - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
queue - Variable in class org.deeplearning4j.ui.WebReporter
 
queueLimit(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method defines buffer queue size.
queueMDS(LinkedBlockingQueue<MultiDataSet>) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
queueMDS - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
queueObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
 
queueObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
 
queueObject(CoOccurrenceWeight<T>) - Method in interface org.deeplearning4j.models.glove.count.CoOccurrenceWriter
This method implementations should queue objects for writing out.
QueuePairStatsStorageListener - Class in org.deeplearning4j.ui.storage.impl
A very simple StatsStorageListener, that adds the StatsStorageEvent instances and the specified StatsStorage instance (i.e., the source) to the specified queue for later processing.
QueuePairStatsStorageListener() - Constructor for class org.deeplearning4j.ui.storage.impl.QueuePairStatsStorageListener
 
queueReport(WebTarget, Entity) - Method in class org.deeplearning4j.ui.WebReporter
This method queues UI report for sending
queueSize - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
queueSize - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
QueueStatsStorageListener - Class in org.deeplearning4j.ui.storage.impl
A very simple StatsStorageListener, that adds the StatsStorageEvent instances to a provided queue for later processing.
QueueStatsStorageListener() - Constructor for class org.deeplearning4j.ui.storage.impl.QueueStatsStorageListener
 

R

R_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
randomDoubleBetween(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
randomFloatBetween(float, float) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
randomNumberBetween(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double, RandomGenerator) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a random integer between the specified numbers
randomNumberBetween(double, double, Random) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generates a random integer between the specified numbers
RandomProjectionLSH - Class in org.deeplearning4j.clustering.lsh
This class implements Entropy LSH for the cosine distance, in order to preserve memory for large datasets.
RandomProjectionLSH(int, int, int, double) - Constructor for class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
RandomProjectionLSH(int, int, int, double, Random) - Constructor for class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
Creates a locality-sensitive hashing index for the cosine distance, a (d1, d2, (180 − d1)/180,(180 − d2)/180)-sensitive hash family before amplification
RandomUtils - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
RandomUtils is a wrapper that supports all possible Random methods via the Math.random() method and its system-wide Random object.
RandomUtils() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.RandomUtils
 
RandomWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This is Random-based walker for SequenceVectors-based DeepWalk implementation Original DeepWalk paper: http://arxiv.org/pdf/1403.6652v2
RandomWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
RandomWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
RandomWalkGraphIteratorProvider<V> - Class in org.deeplearning4j.graph.iterator.parallel
Random walk graph iterator provider: given a graph, split up the generation of random walks for parallel learning.
RandomWalkGraphIteratorProvider(IGraph<V, ?>, int) - Constructor for class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
 
RandomWalkGraphIteratorProvider(IGraph<V, ?>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.parallel.RandomWalkGraphIteratorProvider
 
RandomWalkIterator<V> - Class in org.deeplearning4j.graph.iterator
Given a graph, iterate through random walks on that graph of a specified length.
RandomWalkIterator(IGraph<V, ?>, int) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
RandomWalkIterator(IGraph<V, ?>, int, long) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
Construct a RandomWalkIterator for a given graph, with a specified walk length and random number generator seed.
Uses NoEdgeHandling.EXCEPTION_ON_DISCONNECTED - hence exception will be thrown when generating random walks on graphs with vertices containing having no edges, or no outgoing edges (for directed graphs)
RandomWalkIterator(IGraph<V, ?>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
RandomWalkIterator(IGraph<V, ?>, int, long, NoEdgeHandling, int, int) - Constructor for class org.deeplearning4j.graph.iterator.RandomWalkIterator
Constructor used to generate random walks starting at a subset of the vertices in the graph.
RankClassificationResult - Class in org.deeplearning4j.nn.simple.multiclass
A RankClassificationResult is an abstraction over an activation matrix for ranking classes.
RankClassificationResult(INDArray) - Constructor for class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
Takes in just a classification matrix and initializes the labels to just be indices
RankClassificationResult(INDArray, List<String>) - Constructor for class org.deeplearning4j.nn.simple.multiclass.RankClassificationResult
Takes in a classification matrix and the labels for each column
ratio - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
ratio - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
RawMnistDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Mnist data with scaled pixels
RawMnistDataSetIterator(int, int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.RawMnistDataSetIterator
 
rddDataSetNumExamples - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
rddDataSetNumExamples - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
rddDataSetNumExamples - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
RDDMiniBatches - Class in org.deeplearning4j.spark.datavec
RDD mini batch partitioning
RDDMiniBatches(int, JavaRDD<DataSet>) - Constructor for class org.deeplearning4j.spark.datavec.RDDMiniBatches
 
RDDMiniBatches.MiniBatchFunction - Class in org.deeplearning4j.spark.datavec
 
RDDTrainingApproach - Enum in org.deeplearning4j.spark.api
Approach to use when training from a JavaRDD<DataSet> or JavaRDD<MultiDataSet>.
rddTrainingApproach - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
rddTrainingApproach - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
rddTrainingApproach(RDDTrainingApproach) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
The approach to use when training on a RDD<DataSet> or RDD<MultiDataSet>.
rddTrainingApproach - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
rddTrainingApproach(RDDTrainingApproach) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
The approach to use when training on a RDD<DataSet> or RDD<MultiDataSet>.
rddTrainingApproach - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
read(InputStream) - Method in class com.atilika.kuromoji.dict.UserDictionary
 
read(InputStream) - Static method in class com.atilika.kuromoji.io.ByteBufferIO
 
read(InputStream) - Static method in class com.atilika.kuromoji.trie.DoubleArrayTrie
Load Stored data
read(char[], int, int) - Method in class org.ansj.util.AnsjReader
为了功能的单一性我还是不实现了
readArray(InputStream) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
readArray(InputStream) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
readArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
readArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
readAttributeAsFixedLengthString(String, int) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read string attribute from group path.
readAttributeAsJson(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read JSON-formatted string attribute from group path.
readAttributeAsString(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read string attribute from group path.
readCharacterDefinition(InputStream, String) - Method in class com.atilika.kuromoji.compile.CharacterDefinitionsCompiler
 
readCosts(InputStream) - Method in class com.atilika.kuromoji.compile.ConnectionCostsCompiler
 
readDataSet(String, String...) - Method in class org.deeplearning4j.nn.modelimport.keras.Hdf5Archive
Read data set as ND4J array from group path.
reader - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
readFloat(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Read a float from a data input stream Credit to: https://github.com/NLPchina/Word2VEC_java/blob/master/src/com/ansj/vec/Word2VEC.java
readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Reads the image at the current position.
readImage() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Reads the current image.
readImagesUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistImageFile
Read the specified number of images from the current position, to a byte[nImages][rows*cols] Note that MNIST data set is stored as unsigned bytes; this method returns signed bytes without conversion (i.e., same bits, but requires conversion before use)
readImageUnsafe(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
 
READING - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
READING_FEATURE - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
readingFeature - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
Reads the integer at the current position.
readLabel() - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Reads the current label.
readLabel(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
 
readLabels(int) - Method in class org.deeplearning4j.datasets.mnist.MnistLabelFile
Read the specified number of labels from the current position
readLine() - Method in class org.ansj.util.AnsjReader
读取一行数据。ps 读取结果会忽略 \n \r
readObjectFromFile(String, Class<T>, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readObjectFromFile(String, Class<T>, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read an object from HDFS (or local) using default Java object serialization
readOnly - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
readOnly(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
readOnly - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
readParagraphVectors(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectors(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectors(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method restores ParagraphVectors model previously saved with writeParagraphVectors()
readParagraphVectorsFromText(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
readParagraphVectorsFromText(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
readParagraphVectorsFromText(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
readSequenceVectors(SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method loads previously saved SequenceVectors model from File
readSequenceVectors(SequenceElementFactory<T>, InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method loads previously saved SequenceVectors model from InputStream
readSparseArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
readSparseArray2D(InputStream) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
readStream(InputStream) - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
readString(DataInputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Read a string from a data input stream Credit to: https://github.com/NLPchina/Word2VEC_java/blob/master/src/com/ansj/vec/Word2VEC.java
readStringFromFile(String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readStringFromFile(String, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Read a UTF-8 format String from HDFS (or local)
readTokenInfo(InputStream) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
readUnknownDefinition(InputStream, String) - Method in class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
readVocabCache(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method reads vocab cache from provided file.
readVocabCache(InputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method reads vocab cache from provided InputStream.
readWord2Vec(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
readWord2VecFromText(File, File, File, File, VectorsConfiguration) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method allows you to read ParagraphVectors from externally originated vectors and syn1.
readWord2VecModel(File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
readWord2VecModel(String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
readWord2VecModel(String, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
readWord2VecModel(File, boolean) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method 1) Binary model, either compressed or not.
realMin - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
realMin - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
realMin - Variable in class org.deeplearning4j.plot.Tsne
 
realStr - Variable in class org.ansj.util.Graph
 
rearrange() - Method in class org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter
 
reassignExistingModel() - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
 
recall(int) - Method in class org.deeplearning4j.eval.Evaluation
Returns the recall for a given label
recall(int, double) - Method in class org.deeplearning4j.eval.Evaluation
Returns the recall for a given label
recall() - Method in class org.deeplearning4j.eval.Evaluation
Recall based on guesses so far
Note: value returned will differ depending on number of classes and settings.
1.
recall(EvaluationAveraging) - Method in class org.deeplearning4j.eval.Evaluation
Calculate the average recall for all classes - can specify whether macro or micro averaging should be used NOTE: if any classes have tp=0 and fn=0, (recall=0/0) these are excluded from the average
recall(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the recall (tp / (tp + fn)) for the specified output
recall(long, long, double) - Static method in class org.deeplearning4j.eval.EvaluationUtils
Calculate the recall from true positive and false negative counts
receiveUpdate(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method accepts updates suitable for StepFunction and puts them to the queue, which is used in backpropagation loop PLEASE NOTE: array is expected to be ready for use and match params dimensionality
receiveUpdate(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method accepts updates suitable for StepFunction and puts them to the queue, which is used in backpropagation loop
receiveUpdate(INDArray) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method accepts updates suitable for StepFunction and puts them to the queue, which is used in backpropagation loop PLEASE NOTE: array is expected to be ready for use and match params dimensionality
recognition(Recognition) - Method in class org.ansj.domain.Result
调用一个发现引擎
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.AsianPersonRecognition
 
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.ForeignPersonRecognition
 
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.NewWordRecognition
 
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.NumRecognition
数字+数字合并,zheng
recognition(Term[]) - Method in class org.ansj.recognition.arrimpl.UserDefineRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.BookRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.DicRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.EmailRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.IDCardRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.NatureRecognition
进行最佳词性查找,引用赋值.所以不需要有返回值
recognition(List<String>) - Method in class org.ansj.recognition.impl.NatureRecognition
传入一组。词对词语进行。词性标注
recognition(List<String>, int) - Method in class org.ansj.recognition.impl.NatureRecognition
传入一组。词对词语进行。词性标注
recognition(Result) - Method in class org.ansj.recognition.impl.StopRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.SynonymsRecgnition
 
recognition(Result) - Method in class org.ansj.recognition.impl.TimeRecognition
 
recognition(Result) - Method in class org.ansj.recognition.impl.UserDicNatureRecognition
 
Recognition - Interface in org.ansj.recognition
词语结果识别接口,用来通过规则方式识别词语,对结果的二次加工
recognition(Result) - Method in interface org.ansj.recognition.Recognition
 
recognition(Term[]) - Method in interface org.ansj.recognition.TermArrRecognition
 
reconstruct(INDArray, int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Reconstructs the input.
ReconstructionDataSetIterator - Class in org.deeplearning4j.datasets.iterator
Wraps a data applyTransformToDestination iterator setting the first (feature matrix) as the labels.
ReconstructionDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
ReconstructionDistribution - Interface in org.deeplearning4j.nn.conf.layers.variational
The ReconstructionDistribution is used with variational autoencoders VariationalAutoencoder to specify the form of the distribution p(data|x).
reconstructionDistribution(ReconstructionDistribution) - Method in class org.deeplearning4j.nn.conf.layers.variational.VariationalAutoencoder.Builder
The reconstruction distribution for the data given the hidden state - i.e., P(data|Z).
This should be selected carefully based on the type of data being modelled.
reconstructionDistribution - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
reconstructionError(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Return the reconstruction error for this variational autoencoder.
NOTE (important): This method is used ONLY for VAEs that have a standard neural network loss function (i.e., an ILossFunction instance such as mean squared error) instead of using a probabilistic reconstruction distribution P(x|z) for the reconstructions (as presented in the VAE architecture by Kingma and Welling).
You can check if the VAE has a loss function using VariationalAutoencoder.hasLossFunction()
Consequently, the reconstruction error is a simple deterministic function (no Monte-Carlo sampling is required, unlike VariationalAutoencoder.reconstructionProbability(INDArray, int) and VariationalAutoencoder.reconstructionLogProbability(INDArray, int))
reconstructionLogProbability(INDArray, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Return the log reconstruction probability given the specified number of samples.
See VariationalAutoencoder.reconstructionLogProbability(INDArray, int) for more details
reconstructionProbability(INDArray, int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
Calculate the reconstruction probability, as described in An & Cho, 2015 - "Variational Autoencoder based Anomaly Detection using Reconstruction Probability" (Algorithm 4)
The authors describe it as follows: "This is essentially the probability of the data being generated from a given latent variable drawn from the approximate posterior distribution."

Specifically, for each example x in the input, calculate p(x).
reconstructionProbNumSamples - Variable in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
Record - Class in org.deeplearning4j
Created by agibsonccc on 6/7/16.
Record() - Constructor for class org.deeplearning4j.Record
 
record(URI, DataInputStream) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
recordReader - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
RecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec
Record reader dataset iterator.
RecordReaderDataSetIterator(RecordReader, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Constructor for classification, where:
(a) the label index is assumed to be the very last Writable/column, and
(b) the number of classes is inferred from RecordReader.getLabels()
Note that if RecordReader.getLabels() returns null, no output labels will be produced
RecordReaderDataSetIterator(RecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Main constructor for classification.
RecordReaderDataSetIterator(RecordReader, int, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Constructor for classification, where the maximum number of returned batches is limited to the specified value
RecordReaderDataSetIterator(RecordReader, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Main constructor for multi-label regression (i.e., regression with multiple outputs)
RecordReaderDataSetIterator(RecordReader, WritableConverter, int, int, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
Main constructor
RecordReaderDataSetIterator(RecordReaderDataSetIterator.Builder) - Constructor for class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
RecordReaderDataSetIterator.Builder - Class in org.deeplearning4j.datasets.datavec
Builder class for RecordReaderDataSetIterator
RecordReaderFunction - Class in org.deeplearning4j.spark.datavec
Turn a string in to a dataset based on a record reader
RecordReaderFunction(RecordReader, int, int, WritableConverter) - Constructor for class org.deeplearning4j.spark.datavec.RecordReaderFunction
 
RecordReaderFunction(RecordReader, int, int) - Constructor for class org.deeplearning4j.spark.datavec.RecordReaderFunction
 
RecordReaderMultiDataSetIterator - Class in org.deeplearning4j.datasets.datavec
RecordReaderMultiDataSetIterator: A MultiDataSetIterator for data from one or more RecordReaders and SequenceRecordReaders
The idea: generate multiple inputs and multiple outputs from one or more Sequence/RecordReaders.
RecordReaderMultiDataSetIterator.AlignmentMode - Enum in org.deeplearning4j.datasets.datavec
When dealing with time series data of different lengths, how should we align the input/labels time series? For equal length: use EQUAL_LENGTH For sequence classification: use ALIGN_END
RecordReaderMultiDataSetIterator.Builder - Class in org.deeplearning4j.datasets.datavec
 
RecordToDataSet - Interface in org.deeplearning4j.streaming.conversion.dataset
Converts a list of records in to a dataset.
RecordToNDArray - Interface in org.deeplearning4j.streaming.conversion.ndarray
A function convert from record to ndarrays
recurrent(int) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
InputType for recurrent neural network (time series) data
recurrent(int, int) - Static method in class org.deeplearning4j.nn.conf.inputs.InputType
InputType for recurrent neural network (time series) data
recurrent(int) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder.InputTypeBuilder
RECURRENT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
Weights for previous time step -> current time step connections
RECURRENT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.LSTMParamInitializer
Weights for previous time step -> current time step connections
RECURRENT_WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
RECURRENT_WEIGHT_KEY_BACKWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
RECURRENT_WEIGHT_KEY_FORWARDS - Static variable in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
Weights for previous time step -> current time step connections
recurrentConstraints - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
RecurrentLayer - Interface in org.deeplearning4j.nn.api.layers
Created by Alex on 28/08/2016.
ReduceSentenceCount - Class in org.deeplearning4j.spark.text.functions
 
ReduceSentenceCount() - Constructor for class org.deeplearning4j.spark.text.functions.ReduceSentenceCount
 
reductionA(ComputationGraphConfiguration.GraphBuilder, int, String, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
refreshClusterCenter(Cluster, ClusterInfo) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
refreshClustersCenters(ClusterSet, ClusterSetInfo, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
Registerable - Interface in org.deeplearning4j.optimize.solvers.accumulation
 
registerConsumers(int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
registerConsumers(int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
registerConsumers(int) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.Registerable
This method notifies producer about number of consumers for the current consumption cycle
registerCustomLayer(String, Class<? extends KerasLayer>) - Static method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Register a custom layer
registered - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
registerLegacyClassDefaultName(Class<? extends GraphVertex>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
registerLegacyClassDefaultName(Class<? extends Layer>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
registerLegacyClassDefaultName(Class<? extends InputPreProcessor>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
registerLegacyClassDefaultName(Class<? extends ReconstructionDistribution>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends GraphVertex>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyGraphVertexDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends Layer>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyLayerDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends InputPreProcessor>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyPreprocessorDeserializer
 
registerLegacyClassSpecifiedName(String, Class<? extends ReconstructionDistribution>) - Static method in class org.deeplearning4j.nn.conf.serde.legacyformat.LegacyReconstructionDistributionDeserializer
 
registerLegacyCustomClassesForJSON(Class<?>...) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Register a set of classes (Layer, GraphVertex, InputPreProcessor, IActivation, ILossFunction, ReconstructionDistribution ONLY) for JSON deserialization.

This is required ONLY when BOTH of the following conditions are met:
1.
registerLegacyCustomClassesForJSON(List<Pair<String, Class>>) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Register a set of classes (Layer, GraphVertex, InputPreProcessor, IActivation, ILossFunction, ReconstructionDistribution ONLY) for JSON deserialization, with custom names.
Using this method directly should never be required (instead: use NeuralNetConfiguration.registerLegacyCustomClassesForJSON(Class[]) but is added in case it is required in non-standard circumstances.
registerLegacyCustomClassesForJSONList(List<Class<?>>) - Static method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
registerStatsStorageListener(StatsStorageListener) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Add a new StatsStorageListener.
registerStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
registerStatsStorageListener(StatsStorageListener) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
regression - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
regression(int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Use this for single output regression (i.e., 1 output/regression target)
regression(int, int) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
Use this for multiple output regression (1 or more output/regression targets).
regression - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
RegressionEvaluation - Class in org.deeplearning4j.eval
Evaluation method for the evaluation of regression algorithms.
Provides the following metrics, for each column:
- MSE: mean squared error
- MAE: mean absolute error
- RMSE: root mean squared error
- RSE: relative squared error
- PC: pearson correlation coefficient
- R^2: coefficient of determination See for example: http://www.saedsayad.com/model_evaluation_r.htm For classification, see Evaluation
RegressionEvaluation() - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
 
RegressionEvaluation(int) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with the specified number of columns, and default precision for the stats() method.
RegressionEvaluation(int, int) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with the specified number of columns, and specified precision for the stats() method.
RegressionEvaluation(String...) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with default precision for the stats() method
RegressionEvaluation(List<String>) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with default precision for the stats() method
RegressionEvaluation(List<String>, int) - Constructor for class org.deeplearning4j.eval.RegressionEvaluation
Create a regression evaluation object with specified precision for the stats() method
RegressionEvaluation.Metric - Enum in org.deeplearning4j.eval
 
RegressionScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Calculate the regression score of the network (MultiLayerNetwork or ComputationGraph) on a test set, using the specified regression metric - RegressionEvaluation.Metric
RegressionScoreCalculator(RegressionEvaluation.Metric, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.RegressionScoreCalculator
 
relativeSquaredError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
release(CAS) - Method in class org.deeplearning4j.text.uima.UimaResource
 
ReliabilityDiagram - Class in org.deeplearning4j.eval.curves
Created by Alex on 05/07/2017.
ReliabilityDiagram(String, double[], double[]) - Constructor for class org.deeplearning4j.eval.curves.ReliabilityDiagram
 
reload(String) - Static method in class org.ansj.library.AmbiguityLibrary
刷新一个,将值设置为null
reload(String) - Static method in class org.ansj.library.CrfLibrary
刷新一个,将值设置为null
reload(String) - Static method in class org.ansj.library.DicLibrary
 
reload(String) - Static method in class org.ansj.library.StopLibrary
 
reload(String) - Static method in class org.ansj.library.SynonymsLibrary
刷新一个,将值设置为null
reloadLibrary(String) - Static method in class org.ansj.util.MyStaticValue
重置一个词典
relocatable - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
remainingCapacity() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
remainingCapacity() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
remoteDataUrl() - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
remoteDataUrl(DataSetType) - Method in class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
RemoteReceiverModule - Class in org.deeplearning4j.ui.module.remote
Used to receive UI updates remotely.
RemoteReceiverModule() - Constructor for class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
RemoteUIStatsStorageRouter - Class in org.deeplearning4j.api.storage.impl
Asynchronously post all updates to a remote UI that has remote listening enabled.
Typically used with UIServer (don't forget to enable remote listener support - UIServer.getInstance().enableRemoteListener()
RemoteUIStatsStorageRouter(String) - Constructor for class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
Create remote UI with defaults for all values except address
RemoteUIStatsStorageRouter(String, int, long, double) - Constructor for class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
RemoteUIStatsStorageRouter(String, String, int, long, double) - Constructor for class org.deeplearning4j.api.storage.impl.RemoteUIStatsStorageRouter
 
remove(Object) - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Removes entry identified by key from this trie (currently unsupported)
remove(String) - Static method in class org.ansj.library.AmbiguityLibrary
删除一个key
remove(String) - Static method in class org.ansj.library.CrfLibrary
删除一个key
remove(String) - Static method in class org.ansj.library.DicLibrary
 
remove(String) - Static method in class org.ansj.library.StopLibrary
 
remove(String) - Static method in class org.ansj.library.SynonymsLibrary
删除一个key
remove(String, String) - Static method in class org.ansj.library.SynonymsLibrary
从同义词组中删除掉一个词 [中国, 中华, 我国] -> remove(我国) -> [中国, 中华]
remove() - Method in class org.deeplearning4j.aws.s3.reader.BucketIterator
 
remove() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
remove() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
remove() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
remove() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
remove() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
remove() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
remove() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
remove() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
remove(Object) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
remove() - Method in class org.deeplearning4j.parallelism.AsyncIterator
 
remove(Object) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
remove(Object) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
remove() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
remove() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.MultiPdsIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.PdsIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
remove() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
remove() - Method in class org.deeplearning4j.text.corpora.treeparser.TreeIterator
Removes from the underlying collection the last element returned by this iterator (optional operation).
remove() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
remove() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
remove() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
remove() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
remove(Object) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
remove() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
REMOVE_STOPWORDS - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
removeAll(Collection<?>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
removeAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
removeAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
removeAll(Collection<?>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
removeAllListeners() - Method in interface org.deeplearning4j.api.storage.StatsStorage
Remove all listeners from the StatsStorage instance
removeAllListeners() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
removeAllListeners() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
removeClusterInfos(List<Cluster>) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
removeElement(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
removeElement(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
removeElement(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
removeElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
removeElement(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Removes element with specified label from vocabulary Please note: Huffman index should be updated after element removal
removeElement(T) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Removes specified element from vocabulary Please note: Huffman index should be updated after element removal
removeEmptyClusters(ClusterSetInfo) - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
removeEmptyClusters() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
removeHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Remove a training hook from the worker
removeHook(TrainingHook) - Method in interface org.deeplearning4j.spark.api.TrainingWorker
Remove a training hook from the worker
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
Remove a training hook from the worker
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingWorker
Remove a training hook from the worker
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
removeHook(TrainingHook) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
removeLayersFromOutput(int) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Remove last "n" layers of the net At least an output layer must be added back in
removeLibrary(String) - Static method in class org.ansj.util.MyStaticValue
删除一个词典
removeOutputLayer() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Helper method to remove the outputLayer of the net.
removePair(T, T) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
removePair(Pair<T, T>) - Method in class org.deeplearning4j.models.glove.count.CountMap
 
removePoint(String) - Method in class org.deeplearning4j.clustering.cluster.Cluster
Remove the point and return it
removePoints() - Method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
removePoints() - Method in class org.deeplearning4j.clustering.cluster.Cluster
Clear out the ponits
removePoints() - Method in class org.deeplearning4j.clustering.cluster.ClusterSet
 
removeVertex(String) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Intended for use with the transfer learning API.
removeVertex(String, boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Intended for use with the transfer learning API.
removeVertexAndConnections(String) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Remove specified vertex and it's connections from the computation graph
removeVertexKeepConnections(String) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Remove the specified vertex from the computation graph but keep it's connections.
renderHTML(Collection<Component>) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
Given the specified components, render them to a stand-alone HTML page (which is returned as a String)
renderHTML(Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
Given the specified components, render them to a stand-alone HTML page (which is returned as a String)
renderHTMLContent(Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
 
repartionData(Repartition) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set if/when repartitioning should be conducted for the training data.
Default value: always repartition (if required to guarantee correct number of partitions and correct number of examples in each partition).
Repartition - Enum in org.deeplearning4j.spark.api
Enumeration that is used for specifying the behaviour of repartitioning in ParameterAveragingTrainingMaster (and possibly elsewhere.
repartition - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
repartition - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
repartition - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
repartition - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
repartition(JavaRDD<T>, Repartition, RepartitionStrategy, int, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Repartition the specified RDD (or not) using the given Repartition and RepartitionStrategy settings
repartitionApproximateBalance(JavaRDD<T>, Repartition, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
 
repartitionBalanceIfRequired(JavaRDD<T>, Repartition, int, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Repartition a RDD (given the Repartition setting) such that we have approximately numPartitions partitions, each of which has objectsPerPartition objects.
repartitionData(Repartition) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
This parameter defines when repartition is applied (if applied)
RepartitionStrategy - Enum in org.deeplearning4j.spark.api
RepartitionStrategy: different strategies for conducting repartitioning on training data, when repartitioning is required.
SparkDefault: repartition using Spark's standard RDD.repartition(int) method.
repartitionStrategy - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
repartitionStrategy - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
repartitionStrategy(RepartitionStrategy) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Used in conjunction with ParameterAveragingTrainingMaster.Builder.repartionData(Repartition) (which defines when repartitioning should be conducted), repartitionStrategy defines how the repartitioning should be done.
repartitionStrategy - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
repartitionStrategy(RepartitionStrategy) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Used in conjunction with SharedTrainingMaster.Builder.repartitionData(Repartition) (which defines when repartitioning should be conducted), repartitionStrategy defines how the repartitioning should be done.
repartitionStrategy - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
replicatedModel(Model) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
replicatedModel - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
reportBatch(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if batches/sec should be reported together with other data
reportDataSetMetaData(List<Serializable>, Class<?>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report any metadata for the DataSet
reportDataSetMetaData(List<Serializable>, String) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report any metadata for the DataSet
reportDataSetMetaData(List<Serializable>, Class<?>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportDataSetMetaData(List<Serializable>, String) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportDataSetMetaData(List<Serializable>, Class<?>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportDataSetMetaData(List<Serializable>, String) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportETL(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if ETL time per iteration should be reported together with other data
reportGarbageCollection(String, int, int) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report Garbage collection stats
reportGarbageCollection(String, int, int) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportGarbageCollection(String, int, int) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportHardwareInfo(int, int, long, long, long[], String[], String) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
reportHardwareInfo(int, int, long, long, long[], String[], String) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportHardwareInfo(int, int, long, long, long[], String[], String) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportHistograms(StatsType, Map<String, Histogram>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report histograms for all parameters, for a given StatsType
reportHistograms(StatsType, Map<String, Histogram>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportHistograms(StatsType, Map<String, Histogram>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportIDs(String, String, String, long) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
reportIDs(String, String, String, long) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportIDs(String, String, String, long) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportingFrequency() - Method in interface org.deeplearning4j.ui.stats.api.StatsUpdateConfiguration
Get the reporting frequency, in terms of listener calls
reportingFrequency(int) - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration.Builder
 
reportingFrequency() - Method in class org.deeplearning4j.ui.stats.impl.DefaultStatsUpdateConfiguration
 
reportIteration(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if iteration number should be reported together with other data
reportIterationCount(int) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the current iteration number
reportIterationCount(int) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportIterationCount(int) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportLearningRates(Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the learning rates by parameter
reportLearningRates(Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportLearningRates(Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportMean(StatsType, Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the mean values for each parameter, the given StatsType (Parameters/Updates/Activations)
reportMean(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportMean(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportMeanMagnitudes(StatsType, Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the mean magnitude values for each parameter for the given StatsType (Parameters/Updates/Activations)
reportMeanMagnitudes(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportMeanMagnitudes(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportMemoryUse(long, long, long, long, long[], long[]) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the memory stats at this iteration
reportMemoryUse(long, long, long, long, long[], long[]) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportMemoryUse(long, long, long, long, long[], long[]) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportModelInfo(String, String, String[], int, long) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
Report the model information
reportModelInfo(String, String, String[], int, long) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportModelInfo(String, String, String[], int, long) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportPerformance(long, long, long, double, double) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the performance stats (since the last report)
reportPerformance(long, long, long, double, double) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportPerformance(long, long, long, double, double) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportSample(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if samples/sec should be reported together with other data
reportScore(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if score should be reported together with other data
reportScore - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
reportScore - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
reportScore(double) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report model score at the current iteration
reportScore(double) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportScore(double) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportScoreAfterAveraging(boolean) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method enables/disables averaged model score reporting
reportSoftwareInfo(String, String, String, String, String, String, String, String, String, Map<String, String>) - Method in interface org.deeplearning4j.ui.stats.api.StatsInitializationReport
 
reportSoftwareInfo(String, String, String, String, String, String, String, String, String, Map<String, String>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsInitializationReport
 
reportSoftwareInfo(String, String, String, String, String, String, String, String, String, Map<String, String>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
reportStatsCollectionDurationMS(int) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the number of milliseconds required to calculate all of the stats.
reportStatsCollectionDurationMS(int) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportStatsCollectionDurationMS(int) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportStdev(StatsType, Map<String, Double>) - Method in interface org.deeplearning4j.ui.stats.api.StatsReport
Report the standard deviation values for each parameter for the given StatsType (Parameters/Updates/Activations)
reportStdev(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.java.JavaStatsReport
 
reportStdev(StatsType, Map<String, Double>) - Method in class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in interface org.deeplearning4j.ui.api.UIModule
Whenever the UIServer receives some StatsStorageEvents from one of the registered StatsStorage instances, it will filter these and pass on to the UI module those ones that match one of the Type IDs from UIModule.getCallbackTypeIDs().
Typically, these will be batched together at least somewhat, rather than being reported individually.
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.convolutional.ConvolutionalListenerModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.defaultModule.DefaultModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.train.TrainModule
 
reportStorageEvents(Collection<StatsStorageEvent>) - Method in class org.deeplearning4j.ui.module.tsne.TsneModule
 
reportTime(boolean) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
This method defines, if time per iteration should be reported together with other data
requiresDropoutFromLegacy(Layer[]) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
requiresIUpdaterFromLegacy(Layer[]) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
reset() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
reset() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
reset() - Method in interface org.deeplearning4j.datasets.iterator.callbacks.DataSetCallback
 
reset() - Method in class org.deeplearning4j.datasets.iterator.callbacks.DefaultCallback
 
reset() - Method in class org.deeplearning4j.datasets.iterator.callbacks.InterleavedDataSetCallback
 
reset() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
Returns the fetcher back to the beginning of the dataset
reset() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
reset() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
reset(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
reset(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.FileSplitParallelDataSetIterator
 
reset(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Resets the iterator back to the beginning
reset() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
reset() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
reset() - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
reset() - Method in class org.deeplearning4j.eval.Evaluation
 
reset() - Method in class org.deeplearning4j.eval.EvaluationBinary
 
reset() - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
reset() - Method in interface org.deeplearning4j.eval.IEvaluation
 
reset() - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
reset() - Method in class org.deeplearning4j.eval.ROC
 
reset() - Method in class org.deeplearning4j.eval.ROCBinary
 
reset() - Method in class org.deeplearning4j.eval.ROCMultiClass
 
reset() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Reset the graph walk iterator.
reset() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
reset() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
reset() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
reset() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Reset the iterator - including shuffling the order, if necessary/appropriate
reset() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
reset() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
reset() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
reset(boolean) - Method in interface org.deeplearning4j.models.sequencevectors.graph.walkers.GraphWalker
This method resets walker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
This method resets walker
reset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
This method resets walker
reset() - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceIterator
 
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
Resets iterator to first position
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.FilteredSequenceIterator
Resets iterator down to first sequence
reset() - Method in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
This method resets underlying iterator
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
reset() - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
reset() - Method in interface org.deeplearning4j.models.sequencevectors.transformers.SequenceTransformer
 
reset() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
reset() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
reset() - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method resets all accumulated updates (if any)
reset() - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method resets all accumulated updates (if any)
reset() - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method resets all accumulated updates (if any)
reset() - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
reset() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
reset() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
reset() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
This methods resets LabelAwareIterator
reset() - Method in interface org.deeplearning4j.text.documentiterator.DocumentIterator
Reset the iterator to the beginning
reset() - Method in class org.deeplearning4j.text.documentiterator.FileDocumentIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
reset() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
reset() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
This method should be called from Iterator's reset() method, to keep labels in sync with iterator
reset() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
This methods resets LabelAwareIterator by creating new Iterator from Iterable internally
reset() - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.CollectionSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.FileSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.LineSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
reset() - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
Resets the iterator to the beginning
reset() - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
reset() - Method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
resetContent(AnsjReader) - Method in class org.ansj.splitWord.Analysis
重置分词器
resetContent(Reader) - Method in class org.ansj.splitWord.Analysis
 
resetContent(Reader, int) - Method in class org.ansj.splitWord.Analysis
 
resetLayerDefaultConfig() - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer
Reset the learning related configs of the layer to default.
resetLayerDefaultConfig() - Method in class org.deeplearning4j.nn.conf.layers.Layer
Reset the learning related configs of the layer to default.
resetModel - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
resetModel(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
resetModel(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
resetModel(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether model should be totally wiped out prior building, or not
resetModel - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
resetModel(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines, should all model be reset before training.
resetModel(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether model should be totally wiped out prior building, or not
resetPending - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
resetPending - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
resetSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Is resetting supported by this DataSetIterator? Many DataSetIterators do support resetting, but some don't
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
resetSupported() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
resetSupported() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
resetTracker - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
resetVariables() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
resetWeights() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
Reset (randomize) the weights.
resetWeights() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
resetWeights(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
resetWeights() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
Reset the weights of the cache
resetWeights(boolean) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Clear out all weights regardless
resetWeights() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Reset the weights of the cache
resetWeights(boolean) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
resetWeights() - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
Reset the weights of the cache
resetWordCounters() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This methods reset counters for all words in vocabulary
reshape2dTo3d(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape2dTo3d(INDArray, int, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape2dTo4d(INDArray, int[], LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshape3dMask(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshape3dTo2d(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape3dTo2d(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshape4dMask(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshape4dTo2d(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshapeMaskIfRequired(INDArray, INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
reshapeOrder - Variable in class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
reshapePerOutputTimeSeriesMaskTo2d(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
reshapePerOutputTimeSeriesMaskTo2d(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
 
ReshapePreprocessor - Class in org.deeplearning4j.nn.modelimport.keras.preprocessors
Generic reshape preprocessor
ReshapePreprocessor(int[], int[]) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.ReshapePreprocessor
 
reshapeTimeSeriesMaskToVector(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reshape time series mask arrays.
reshapeTimeSeriesMaskToVector(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reshape time series mask arrays.
reshapeTimeSeriesTo2d(INDArray) - Static method in class org.deeplearning4j.eval.EvaluationUtils
 
reshapeVectorToTimeSeriesMask(INDArray, int) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reshape time series mask arrays.
ReshapeVertex - Class in org.deeplearning4j.nn.conf.graph
Adds the ability to reshape and flatten the tensor in the computation graph.
NOTE: This class should only be used if you know exactly what you are doing with reshaping activations.
ReshapeVertex(int...) - Constructor for class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
ReshapeVertex(char, int[], int[]) - Constructor for class org.deeplearning4j.nn.conf.graph.ReshapeVertex
 
ReshapeVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
Adds the ability to reshape and flatten the tensor in the computation graph.
ReshapeVertex(ComputationGraph, String, int, char, int[], int[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
ReshapeVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], char, int[], int[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
reshapeWeights(int[], INDArray) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Reshape the parameters view, without modifying the paramsView array values.
reshapeWeights(int[], INDArray, char) - Static method in class org.deeplearning4j.nn.weights.WeightInitUtil
Reshape the parameters view, without modifying the paramsView array values.
ResNet50 - Class in org.deeplearning4j.zoo.model
Residual networks for deep learning.
resolve(String) - Method in class com.atilika.kuromoji.util.FileResourceResolver
 
resolve(String) - Method in interface com.atilika.kuromoji.util.ResourceResolver
Resolve the resource name and return an open input stream to it.
resolve(String) - Method in class com.atilika.kuromoji.util.SimpleResourceResolver
 
resolve(DeserializationContext) - Method in class org.deeplearning4j.nn.conf.serde.BaseNetConfigDeserializer
 
resolver - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
ResourceResolver - Interface in com.atilika.kuromoji.util
An adapter to resolve the required resources into data streams.
restoreComputationGraph(String) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraph(String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraph(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a InputStream
restoreComputationGraph(InputStream) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a InputStream
restoreComputationGraph(File) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraph(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a computation graph from a file
restoreComputationGraphAndNormalizer(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a ComputationGraph and Normalizer (if present - null if not) from the InputStream.
restoreComputationGraphAndNormalizer(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a ComputationGraph and Normalizer (if present - null if not) from a File
restoreModel(InputStream) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
restoreMultiLayerNetwork(File) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a multi layer network from a file
restoreMultiLayerNetwork(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a multi layer network from a file
restoreMultiLayerNetwork(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a MultiLayerNetwork from InputStream from an input stream
Note: the input stream is read fully and closed by this method.
restoreMultiLayerNetwork(InputStream) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a multi layer network from an input stream
* Note: the input stream is read fully and closed by this method.
restoreMultiLayerNetwork(String) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a MultilayerNetwork model from a file
restoreMultiLayerNetwork(String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Load a MultilayerNetwork model from a file
restoreMultiLayerNetworkAndNormalizer(InputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a MultiLayerNetwork and Normalizer (if present - null if not) from the InputStream.
restoreMultiLayerNetworkAndNormalizer(File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Restore a MultiLayerNetwork and Normalizer (if present - null if not) from a File
restoreNormalizerFromFile(File) - Static method in class org.deeplearning4j.util.ModelSerializer
This method restores normalizer from a given persisted model file PLEASE NOTE: File should be model file saved earlier with ModelSerializer with addNormalizerToModel being called
restoreNormalizerFromInputStream(InputStream) - Static method in class org.deeplearning4j.util.ModelSerializer
This method restores the normalizer form a persisted model file.
Result - Class in org.ansj.domain
分词结果的一个封装
Result(List<Term>) - Constructor for class org.ansj.domain.Result
 
retainAll(Collection<?>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
retainAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
retainAll(Collection<?>) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
retainAll(Collection<?>) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
retentionDelay - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
retrieve() - Method in class org.deeplearning4j.text.uima.UimaResource
 
returnSequences - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
 
returnSequences - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
 
reverse() - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
reverseTimeSeries(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse an input time series along the time dimension
reverseTimeSeries(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse an input time series along the time dimension
reverseTimeSeriesMask(INDArray) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse a (per time step) time series mask, with shape [minibatch, timeSeriesLength]
reverseTimeSeriesMask(INDArray, LayerWorkspaceMgr, ArrayType) - Static method in class org.deeplearning4j.util.TimeSeriesUtils
Reverse a (per time step) time series mask, with shape [minibatch, timeSeriesLength]
ReverseTimeSeriesVertex - Class in org.deeplearning4j.nn.conf.graph.rnn
ReverseTimeSeriesVertex is used in recurrent neural networks to revert the order of time series.
ReverseTimeSeriesVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
Creates a new ReverseTimeSeriesVertex that doesn't pay attention to masks
ReverseTimeSeriesVertex(String) - Constructor for class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
Creates a new ReverseTimeSeriesVertex that uses the mask array of a given input
ReverseTimeSeriesVertex - Class in org.deeplearning4j.nn.graph.vertex.impl.rnn
ReverseTimeSeriesVertex is used in recurrent neural networks to revert the order of time series.
ReverseTimeSeriesVertex(ComputationGraph, String, int, String) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
RIGHT_ID - Static variable in class com.atilika.kuromoji.dict.DictionaryField
 
rightId - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
rightId(short) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
rmLittlePath() - Method in class org.ansj.util.Graph
删除最短的节点
rmLittlePathByScore() - Method in class org.ansj.util.Graph
删除小节点。保证被删除的小节点的单个分数小于等于大节点的分数
rmLittleSinglePath() - Method in class org.ansj.util.Graph
删除无意义的节点,防止viterbi太多
rng - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
rng - Variable in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
rng - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
rng - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
rng - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
rng - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
rng - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
rngSeed - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
rngSeed(long) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Random number generator seed, used mainly for enforcing repeatable splitting on RDDs Default: no seed set (i.e., random seed)
rngSeed - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
rngSeed(long) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Random number generator seed, used mainly for enforcing repeatable splitting on RDDs Default: no seed set (i.e., random seed)
RNN_MODE - Static variable in class org.deeplearning4j.nn.layers.recurrent.CudnnLSTMHelper
 
rnnActivateUsingStoredState(INDArray, boolean, boolean, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Similar to rnnTimeStep, this method is used for activations using the state stored in the stateMap as the initialization.
rnnActivateUsingStoredState(INDArray[], boolean, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Similar to rnnTimeStep and feedForward() methods.
rnnActivateUsingStoredState(INDArray, boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnActivateUsingStoredState(INDArray, boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
rnnActivateUsingStoredState(INDArray, boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
rnnActivateUsingStoredState(INDArray, boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
rnnActivateUsingStoredState(INDArray, boolean, boolean, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
rnnActivateUsingStoredState(INDArray, boolean, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Similar to rnnTimeStep and feedForward() methods.
rnnClearPreviousState() - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Reset/clear the stateMap for rnnTimeStep() and tBpttStateMap for rnnActivateUsingStoredState()
rnnClearPreviousState() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Clear the previous state of the RNN layers (if any), used in ComputationGraph.rnnTimeStep(INDArray...)
rnnClearPreviousState() - Method in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
Reset/clear the stateMap for rnnTimeStep() and tBpttStateMap for rnnActivateUsingStoredState()
rnnClearPreviousState() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnClearPreviousState() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Clear the previous state of the RNN layers (if any).
rnnGetPreviousState() - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Returns a shallow copy of the RNN stateMap (that contains the stored history for use in methods such as rnnTimeStep
rnnGetPreviousState(int) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the state of the RNN layer, as used in ComputationGraph.rnnTimeStep(INDArray...).
rnnGetPreviousState(String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get the state of the RNN layer, as used in ComputationGraph.rnnTimeStep(INDArray...).
rnnGetPreviousState() - Method in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
Returns a shallow copy of the stateMap
rnnGetPreviousState() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnGetPreviousState(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Get the state of the RNN layer, as used in rnnTimeStep().
rnnGetPreviousStates() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Get a map of states for ALL RNN layers, as used in ComputationGraph.rnnTimeStep(INDArray...).
rnnGetTBPTTState() - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Get the RNN truncated backpropagations through time (TBPTT) state for the recurrent layer.
rnnGetTBPTTState() - Method in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
 
rnnGetTBPTTState() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnLayer(Layer) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Builder
 
RnnLossLayer - Class in org.deeplearning4j.nn.conf.layers
Recurrent Neural Network Loss Layer.
Handles calculation of gradients etc for various objective functions.
NOTE: Unlike RnnOutputLayer this RnnLossLayer does not have any parameters - i.e., there is no time distributed dense component here.
RnnLossLayer - Class in org.deeplearning4j.nn.layers.recurrent
Recurrent Neural Network Loss Layer.
Handles calculation of gradients etc for various objective functions.
NOTE: Unlike RnnOutputLayer this RnnLossLayer does not have any parameters - i.e., there is no time distributed dense component here.
RnnLossLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
RnnLossLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
RnnOutputLayer - Class in org.deeplearning4j.nn.conf.layers
 
RnnOutputLayer - Class in org.deeplearning4j.nn.layers.recurrent
Recurrent Neural Network Output Layer.
Handles calculation of gradients etc for various objective functions.
Functionally the same as OutputLayer, but handles output and label reshaping automatically.
Input and output activations are same as other RNN layers: 3 dimensions with shape [miniBatchSize,nIn,timeSeriesLength] and [miniBatchSize,nOut,timeSeriesLength] respectively.
RnnOutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
RnnOutputLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
RnnOutputLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
rnnSetPreviousState(Map<String, INDArray>) - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Set the stateMap (stored history).
rnnSetPreviousState(int, Map<String, INDArray>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the state of the RNN layer, for use in ComputationGraph.rnnTimeStep(INDArray...)
rnnSetPreviousState(String, Map<String, INDArray>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the state of the RNN layer, for use in ComputationGraph.rnnTimeStep(INDArray...)
rnnSetPreviousState(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
Set the state map.
rnnSetPreviousState(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnSetPreviousState(int, Map<String, INDArray>) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the state of the RNN layer.
rnnSetPreviousStates(Map<String, Map<String, INDArray>>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the states for all RNN layers, for use in ComputationGraph.rnnTimeStep(INDArray...)
rnnSetTBPTTState(Map<String, INDArray>) - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Set the RNN truncated backpropagations through time (TBPTT) state for the recurrent layer.
rnnSetTBPTTState(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
 
rnnSetTBPTTState(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnTimeStep(INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Do one or more time steps using the previous time step state stored in stateMap.
Can be used to efficiently do forward pass one or n-steps at a time (instead of doing forward pass always from t=0)
If stateMap is empty, default initialization (usually zeros) is used
Implementations also update stateMap at the end of this method
rnnTimeStep(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
If this ComputationGraph contains one or more RNN layers: conduct forward pass (prediction) but using previous stored state for any RNN layers.
rnnTimeStep(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
rnnTimeStep(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
rnnTimeStep(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
rnnTimeStep(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
rnnTimeStep(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
rnnTimeStep(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
If this MultiLayerNetwork contains one or more RNN layers: conduct forward pass (prediction) but using previous stored state for any RNN layers.
RnnToCnnPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow RNN and CNN layers to be used together
For example, time series (video) input -> ConvolutionLayer, or conceivable GravesLSTM -> ConvolutionLayer
Functionally equivalent to combining RnnToFeedForwardPreProcessor + FeedForwardToCnnPreProcessor
Specifically, this does two things:
(a) Reshape 3d activations out of RNN layer, with shape [miniBatchSize, numChannels*inputHeight*inputWidth, timeSeriesLength]) into 4d (CNN) activations (with shape [numExamples*timeSeriesLength, numChannels, inputWidth, inputHeight])
(b) Reshapes 4d epsilons (weights.*deltas) out of CNN layer (with shape [numExamples*timeSeriesLength, numChannels, inputHeight, inputWidth]) into 3d epsilons with shape [miniBatchSize, numChannels*inputHeight*inputWidth, timeSeriesLength] suitable to feed into CNN layers.
RnnToCnnPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.conf.preprocessor.RnnToCnnPreProcessor
 
RnnToFeedForwardPreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
A preprocessor to allow RNN and feed-forward network layers to be used together.
For example, GravesLSTM -> OutputLayer or GravesLSTM -> DenseLayer
This does two things:
(a) Reshapes activations out of RNN layer (which is 3D with shape [miniBatchSize,layerSize,timeSeriesLength]) into 2d activations (with shape [miniBatchSize*timeSeriesLength,layerSize]) suitable for use in feed-forward layers.
(b) Reshapes 2d epsilons (weights*deltas from feed forward layer, with shape [miniBatchSize*timeSeriesLength,layerSize]) into 3d epsilons (with shape [miniBatchSize,layerSize,timeSeriesLength]) for use in RNN layer
RnnToFeedForwardPreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.RnnToFeedForwardPreProcessor
 
rnnUpdateStateWithTBPTTState() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Update the internal state of RNN layers after a truncated BPTT fit call
ROC - Class in org.deeplearning4j.eval
ROC (Receiver Operating Characteristic) for binary classifiers.
ROC has 2 modes of operation: (a) Thresholded (less memory)
(b) Exact (default; use numSteps == 0 to set.
ROC() - Constructor for class org.deeplearning4j.eval.ROC
 
ROC(int) - Constructor for class org.deeplearning4j.eval.ROC
 
ROC(int, boolean) - Constructor for class org.deeplearning4j.eval.ROC
 
ROC(int, boolean, int) - Constructor for class org.deeplearning4j.eval.ROC
 
ROC.CountsForThreshold - Class in org.deeplearning4j.eval
 
ROCArraySerializer - Class in org.deeplearning4j.eval.serde
Custom Jackson serializer for ROC[].
ROCArraySerializer() - Constructor for class org.deeplearning4j.eval.serde.ROCArraySerializer
 
ROCBinary - Class in org.deeplearning4j.eval
ROC (Receiver Operating Characteristic) for multi-task binary classifiers.
ROCBinary() - Constructor for class org.deeplearning4j.eval.ROCBinary
 
ROCBinary(int) - Constructor for class org.deeplearning4j.eval.ROCBinary
 
ROCBinary(int, boolean) - Constructor for class org.deeplearning4j.eval.ROCBinary
 
rocChartToHtml(ROC) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
Given a ROC instance, render the ROC chart and precision vs.
rocChartToHtml(ROCMultiClass) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
Given a ROCMultiClass instance, render the ROC chart and precision vs.
rocChartToHtml(ROCMultiClass, List<String>) - Static method in class org.deeplearning4j.evaluation.EvaluationTools
Given a ROCMultiClass instance and (optionally) names for each class, render the ROC chart to a stand-alone HTML file (returned as a String)
RocCurve - Class in org.deeplearning4j.eval.curves
ROC curve: a set of (false positive, true positive) tuples at different thresholds
RocCurve(double[], double[], double[]) - Constructor for class org.deeplearning4j.eval.curves.RocCurve
 
ROCMultiClass - Class in org.deeplearning4j.eval
ROC (Receiver Operating Characteristic) for multi-class classifiers.
ROCMultiClass() - Constructor for class org.deeplearning4j.eval.ROCMultiClass
 
ROCMultiClass(int) - Constructor for class org.deeplearning4j.eval.ROCMultiClass
 
ROCMultiClass(int, boolean) - Constructor for class org.deeplearning4j.eval.ROCMultiClass
 
ROCScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Calculate ROC AUC (area under ROC curve) or AUCPR (area under precision recall curve) for a MultiLayerNetwork or ComputationGraph
ROCScoreCalculator(ROCScoreCalculator.ROCType, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
ROCScoreCalculator(ROCScoreCalculator.ROCType, MultiDataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
ROCScoreCalculator(ROCScoreCalculator.ROCType, ROCScoreCalculator.Metric, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
ROCScoreCalculator(ROCScoreCalculator.ROCType, ROCScoreCalculator.Metric, MultiDataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
ROCScoreCalculator.Metric - Enum in org.deeplearning4j.earlystopping.scorecalc
 
ROCScoreCalculator.ROCType - Enum in org.deeplearning4j.earlystopping.scorecalc
 
ROCSerializer - Class in org.deeplearning4j.eval.serde
Custom Jackson serializer for ROC.
ROCSerializer() - Constructor for class org.deeplearning4j.eval.serde.ROCSerializer
 
root - Variable in class com.atilika.kuromoji.trie.PatriciaTrie
Root value is left -- right is unused
root - Variable in class org.ansj.util.Graph
 
ROOT_CACHE_DIR - Static variable in class org.deeplearning4j.datasets.fetchers.CacheableExtractableDataSetFetcher
 
ROOT_CACHE_DIR - Static variable in class org.deeplearning4j.zoo.ZooModel
 
rootFolder - Variable in class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
 
rootMeanSquaredError(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
rootMeansSquaredError(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the root mean squared error of two data sets
round(double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Rounds a double to the next nearest integer value.
RoundCount - Class in org.deeplearning4j.models.glove.count
Simple circular counter, that circulates within 0...Limit, both inclusive
RoundCount(int) - Constructor for class org.deeplearning4j.models.glove.count.RoundCount
Creates new RoundCount instance.
RoundCount(int, int) - Constructor for class org.deeplearning4j.models.glove.count.RoundCount
Creates new RoundCount instance.
roundDouble(double, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Rounds a double to the given number of decimal places.
roundFloat(float, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Rounds a double to the given number of decimal places.
Route - Class in org.deeplearning4j.ui.api
A Route specifies an endpoint that can be queried in the UI - along with how it should be handled
Route(String, HttpMethod, FunctionType, Supplier<Result>) - Constructor for class org.deeplearning4j.ui.api.Route
 
Route(String, HttpMethod, FunctionType, Function<String, Result>) - Constructor for class org.deeplearning4j.ui.api.Route
 
Route(String, HttpMethod, FunctionType, BiFunction<String, String, Result>) - Constructor for class org.deeplearning4j.ui.api.Route
 
RoutingIterationListener - Interface in org.deeplearning4j.api.storage.listener
An extension of the TrainingListener interface for those listeners that pass data off to a StatsStorageRouter instance.
RPForest - Class in org.deeplearning4j.clustering.randomprojection
 
RPForest(int, int, String) - Constructor for class org.deeplearning4j.clustering.randomprojection.RPForest
Create the rp forest with the specified number of trees
RPHyperPlanes - Class in org.deeplearning4j.clustering.randomprojection
 
RPHyperPlanes(int) - Constructor for class org.deeplearning4j.clustering.randomprojection.RPHyperPlanes
 
RPNode - Class in org.deeplearning4j.clustering.randomprojection
 
RPNode(RPTree, int) - Constructor for class org.deeplearning4j.clustering.randomprojection.RPNode
 
RPTree - Class in org.deeplearning4j.clustering.randomprojection
 
RPTree(int, int, String) - Constructor for class org.deeplearning4j.clustering.randomprojection.RPTree
 
RPTree(int, int) - Constructor for class org.deeplearning4j.clustering.randomprojection.RPTree
 
RPUtils - Class in org.deeplearning4j.clustering.randomprojection
A port of: https://github.com/lyst/rpforest to nd4j
RPUtils() - Constructor for class org.deeplearning4j.clustering.randomprojection.RPUtils
 
RRMDSIFunction - Class in org.deeplearning4j.spark.datavec.iterator
 
RRMDSIFunction() - Constructor for class org.deeplearning4j.spark.datavec.iterator.RRMDSIFunction
 
rSquared(int) - Method in class org.deeplearning4j.eval.RegressionEvaluation
Coefficient of Determination (R^2 Score)
run() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator.AsyncPrefetchThread
 
run() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator.AsyncPrefetchThread
 
run() - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.AsyncSequencer
 
run() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.VocabRunnable
 
run() - Method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain
 
run() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
run() - Method in class org.deeplearning4j.perf.listener.SystemPolling
Run the polling in the background as a thread pool running every SystemPolling.pollEveryMillis milliseconds
run(SharedTrainingWorker) - Method in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
runHelper() - Method in class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
 
runMain(String...) - Method in class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
 
runMain(String...) - Method in class org.deeplearning4j.parallelism.main.ParallelWrapperMain
 
runMain(String[]) - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
running(AtomicInteger) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
running - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
runRemoteCommand(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 

S

S - Static variable in class org.ansj.app.crf.Config
 
S3Downloader - Class in org.deeplearning4j.aws.s3.reader
Downloads files from S3
S3Downloader() - Constructor for class org.deeplearning4j.aws.s3.reader.S3Downloader
 
s3JarFolder(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
the S3 folder in which to find the application jar
S3Uploader - Class in org.deeplearning4j.aws.s3.uploader
Uploads files to S3
S3Uploader() - Constructor for class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
sameDiff - Variable in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
SameDiffLayer - Class in org.deeplearning4j.nn.layers.samediff
 
SameDiffLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
SameDiffLayerUtils - Class in org.deeplearning4j.nn.conf.layers.samediff
 
SameDiffParamInitializer - Class in org.deeplearning4j.nn.params
 
SameDiffParamInitializer() - Constructor for class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
sample - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
sample(double) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
sample() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Sampling for creating mini batches
sampleDoublesInInterval(double[][], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
sampleHiddenGivenVisible(INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
Sample the hidden distribution given the visible
sampleHiddenGivenVisible(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
sampleVisibleGivenHidden(INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
Sample the visible distribution given the hidden
sampleVisibleGivenHidden(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.AutoEncoder
 
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
sampling - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
sampling - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
sampling(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Deprecated.
sampling(double) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
sampling(double) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether subsampling should be used or not
sampling - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
sampling(double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method defines sub-sampling threshold.
sampling(double) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether subsampling should be used or not
sampling - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
sampling(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies subsamplng value
SamplingDataSetIterator - Class in org.deeplearning4j.datasets.iterator
A wrapper for a dataset to sample from.
SamplingDataSetIterator(DataSet, int, int) - Constructor for class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
SamplingMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
 
samplingMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
samplingMode - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
save(File) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Save the ComputationGraph to a file.
save(File, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Save the ComputationGraph to a file.
save(File) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Save the MultiLayerNetwork to a file.
save(File, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Save the MultiLayerNetwork to a file.
save(Model, String) - Method in class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
This method saves model
saveAsFile(List<String>, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Save the model as a file with a csv format, adding the label as the last column.
saveBestModel(T, double) - Method in interface org.deeplearning4j.earlystopping.EarlyStoppingModelSaver
Save the best model (so far) learned during early stopping training
saveBestModel(T, double) - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
saveBestModel(ComputationGraph, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
saveBestModel(MultiLayerNetwork, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
saveEvery(long, TimeUnit) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model periodically
saveEvery(long, TimeUnit, boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model periodically (if sinceLast == false), or if the specified amount of time has elapsed since the last model was saved (if sinceLast == true)
saveEveryEpoch() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model at the end of every epoch
saveEveryNEpochs(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model at the end of every N epochs
saveEveryNIterations(int) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model every N iterations
saveEveryNIterations(int, boolean) - Method in class org.deeplearning4j.optimize.listeners.checkpoint.CheckpointListener.Builder
Save a model every N iterations (if sinceLast == false), or if N iterations have passed since the last model vas saved (if sinceLast == true)
saveHTMLFile(String, Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
A version of StaticPageUtil.renderHTML(Component...) that exports the resulting HTML to the specified path.
saveHTMLFile(File, Component...) - Static method in class org.deeplearning4j.ui.standalone.StaticPageUtil
A version of StaticPageUtil.renderHTML(Component...) that exports the resulting HTML to the specified File.
saveLastModel(boolean) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Save the last model? If true: save the most recent model at each epoch, in addition to the best model (whenever the best model improves).
saveLatestModel(T, double) - Method in interface org.deeplearning4j.earlystopping.EarlyStoppingModelSaver
Save the latest (most recent) model learned during early stopping
saveLatestModel(T, double) - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
saveLatestModel(ComputationGraph, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
saveLatestModel(MultiLayerNetwork, double) - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
saveUpdater - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
saveUpdater(boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set whether the updater (i.e., historical state for momentum, adagrad, etc should be saved).
saveUpdater - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Serialize vocabulary to specified path
saveVocab() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
saveVocab() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Saves the vocab: this allow for reuse of word frequencies
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
sbeBlockLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
sbeBlockLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
sbeHeaderSize() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeSchemaId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeSchemaVersion() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeSemanticType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
SbeStatsInitializationReport - Class in org.deeplearning4j.ui.stats.impl
An implementation of StatsInitializationReport using Simple Binary Encoding (SBE)
SbeStatsInitializationReport() - Constructor for class org.deeplearning4j.ui.stats.impl.SbeStatsInitializationReport
 
SbeStatsReport - Class in org.deeplearning4j.ui.stats.impl
An implementation of StatsReport using Simple Binary Encoding (SBE)
SbeStatsReport() - Constructor for class org.deeplearning4j.ui.stats.impl.SbeStatsReport
 
SbeStorageMetaData - Class in org.deeplearning4j.ui.storage.impl
SbeStorageMetaData: stores information about a given session: for example, the types of the static and update information.
SbeStorageMetaData() - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
SbeStorageMetaData(long, String, String, String, Class<?>, Class<?>) - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
SbeStorageMetaData(long, String, String, String, String, String) - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
SbeStorageMetaData(long, String, String, String, String, String, Serializable) - Constructor for class org.deeplearning4j.ui.storage.impl.SbeStorageMetaData
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sbeTemplateId() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
SbeUtil - Class in org.deeplearning4j.ui.stats.impl
scale(int) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
Multiply all memory usage by the specified scaling factor
scaleFactor - Variable in class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
ScaleVertex - Class in org.deeplearning4j.nn.conf.graph
A ScaleVertex is used to scale the size of activations of a single layer
For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
ScaleVertex(double) - Constructor for class org.deeplearning4j.nn.conf.graph.ScaleVertex
 
ScaleVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
A ScaleVertex is used to scale the size of activations of a single layer
For example, ResNet activations can be scaled in repeating blocks to keep variance under control.
ScaleVertex(ComputationGraph, String, int, double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
ScaleVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
scanForLeaves(List<RPNode>, RPTree) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Scan for leaves accumulating the nodes in the passed in list
scanForLeaves(List<RPNode>, RPNode) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Scan for leaves accumulating the nodes in the passed in list
scavengerActivationThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
Activation threshold defines, how ofter scavenger will be executed, to throw away low-frequency keywords.
scavengerRetentionDelay(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
scavengerRetentionDelay(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder.Builder
Retention delay defines, how long low-freq word will be kept in vocab, during building.
scavengerThreshold - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
scavengerThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache.Builder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
SCHEMA_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
SCHEMA_VERSION - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
schemaId() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaId(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
schemaIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
schemaIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
schemaIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
schemaIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
score() - Method in class org.ansj.domain.Term
 
score(double) - Method in class org.ansj.domain.Term
 
score - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
score() - Method in interface org.deeplearning4j.nn.api.Model
The score for the model
score - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
score(DataSet) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Sets the input and labels and returns a score for the prediction with respect to the true labels
This is equivalent to ComputationGraph.score(DataSet, boolean) with training==true.
NOTE: this version of the score function can only be used with ComputationGraph networks that have a single input and a single output.
score(DataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Sets the input and labels and returns a score for the prediction with respect to the true labels
NOTE: this version of the score function can only be used with ComputationGraph networks that have a single input and a single output.
score(MultiDataSet) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Score the network given the MultiDataSet, at test time
score(MultiDataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Sets the input and labels and returns a score for the prediction with respect to the true labels
score() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
score() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
score - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
score() - Method in class org.deeplearning4j.nn.layers.BaseLayer
Objective function: the specified objective
score() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
score() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
score() - Method in class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
score() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
score - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
score() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
score() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
score(float[]) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
score - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
score(DataSet) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Sets the input and labels and returns a score for the prediction with respect to the true labels
This is equivalent to MultiLayerNetwork.score(DataSet, boolean) with training==false.
score(DataSet, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate the score (loss function) of the prediction with respect to the true labels
score() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Score of the model (relative to the objective function)
score() - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
The score for the optimizer so far
score - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
score() - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
score() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
score(String) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
Scores the text
score(CAS) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
score(Sentence) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
score() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
score(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
score() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
score(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
SCORE_KEY - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
scoreCalculator(ScoreCalculator) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Score calculator.
scoreCalculator(Supplier<ScoreCalculator>) - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration.Builder
Score calculator.
ScoreCalculator<T extends Model> - Interface in org.deeplearning4j.earlystopping.scorecalc
ScoreCalculator interface is used to calculate a score for a neural network.
scoreElements - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
scoreExamples(DataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the score for each example in a DataSet individually.
scoreExamples(MultiDataSet, boolean) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate the score for each example in a DataSet individually.
scoreExamples(DataSetIterator, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
scoreExamples(DataSet, boolean) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Calculate the score for each example in a DataSet individually.
scoreExamples(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(JavaPairRDD<K, DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(JavaPairRDD<K, DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
scoreExamples(RDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
scoreExamples(JavaRDD<DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using the default batch size SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamples(RDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
scoreExamples(JavaRDD<DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using a specified batch size.
scoreExamples(JavaPairRDD<K, DataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using the default batch size SparkDl4jMultiLayer.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamples(JavaPairRDD<K, DataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Score the examples individually, using a specified batch size.
ScoreExamplesFunction - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to score examples individually.
ScoreExamplesFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreExamplesFunction
 
ScoreExamplesFunction - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to score examples individually.
ScoreExamplesFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesFunction
 
scoreExamplesMultiDataSet(JavaRDD<MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using the default batch size SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamplesMultiDataSet(JavaRDD<MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using a specified batch size.
scoreExamplesMultiDataSet(JavaPairRDD<K, MultiDataSet>, boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using the default batch size SparkComputationGraph.DEFAULT_EVAL_SCORE_BATCH_SIZE.
scoreExamplesMultiDataSet(JavaPairRDD<K, MultiDataSet>, boolean, int) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Score the examples individually, using a specified batch size.
ScoreExamplesWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.graph.scoring
Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency.
This is the Spark implementation of the ComputationGraph.scoreExamples(MultiDataSet, boolean) method
Note: The MultiDataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score)
ScoreExamplesWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreExamplesWithKeyFunction
 
ScoreExamplesWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to score examples individually, where each example is associated with a particular key
Note that scoring is batched for computational efficiency.
This is the Spark implementation of t he MultiLayerNetwork.scoreExamples(DataSet, boolean) method
Note: The DataSet objects passed in must have exactly one example in them (otherwise: can't have a 1:1 association between keys and data sets to score)
ScoreExamplesWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreExamplesWithKeyFunction
 
ScoreFlatMapFunction - Class in org.deeplearning4j.spark.impl.multilayer.scoring
 
ScoreFlatMapFunction(String, Broadcast<INDArray>, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.ScoreFlatMapFunction
 
ScoreFlatMapFunctionCGDataSet - Class in org.deeplearning4j.spark.impl.graph.scoring
Function used to score a DataSet using a ComputationGraph
ScoreFlatMapFunctionCGDataSet(String, Broadcast<INDArray>, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreFlatMapFunctionCGDataSet
 
ScoreFlatMapFunctionCGMultiDataSet - Class in org.deeplearning4j.spark.impl.graph.scoring
Function used to score a MultiDataSet using a given ComputationGraph
ScoreFlatMapFunctionCGMultiDataSet(String, Broadcast<INDArray>, int) - Constructor for class org.deeplearning4j.spark.impl.graph.scoring.ScoreFlatMapFunctionCGMultiDataSet
 
scoreForMetric(Evaluation.Metric) - Method in class org.deeplearning4j.eval.Evaluation
 
scoreForMetric(RegressionEvaluation.Metric) - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
scoreId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
ScoreImprovementEpochTerminationCondition - Class in org.deeplearning4j.earlystopping.termination
Terminate training if best model score does not improve for N epochs
ScoreImprovementEpochTerminationCondition(int) - Constructor for class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
ScoreImprovementEpochTerminationCondition(int, double) - Constructor for class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
ScoreIterationListener - Class in org.deeplearning4j.optimize.listeners
Score iteration listener
ScoreIterationListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.ScoreIterationListener
 
ScoreIterationListener() - Constructor for class org.deeplearning4j.optimize.listeners.ScoreIterationListener
Default constructor printing every 10 iterations
ScoreListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
Deprecated.
ScoreListener(ListenerEvent, int) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
Deprecated.
 
scoreMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
scoreMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreMinibatch(Model, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.AutoencoderScoreCalculator
 
scoreMinibatch(MultiLayerNetwork, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseMLNScoreCalculator
 
scoreMinibatch(T, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
scoreMinibatch(T, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
scoreMinibatch(Model, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
 
scoreMinibatch(Model, INDArray, INDArray, INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
scoreMinibatch(Model, INDArray[], INDArray[], INDArray[], INDArray[], INDArray[]) - Method in class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
 
scoreMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
scoreNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
scoreNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
scoreSequences - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
scoreSum - Variable in class org.deeplearning4j.earlystopping.scorecalc.base.BaseScoreCalculator
 
scoreTokens(List<Token>) - Method in class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
ScoringModel - Class in org.deeplearning4j.nn.modelexport.solr.ltr.model
ScoringModel(String, List<Feature>, List<Normalizer>, String, List<Feature>, Map<String, Object>) - Constructor for class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
SDLayerParams - Class in org.deeplearning4j.nn.conf.layers.samediff
SDLayerParams is used to define the parameters for a Deeplearning4j SameDiff layer
SDLayerParams(Map<String, int[]>, Map<String, int[]>) - Constructor for class org.deeplearning4j.nn.conf.layers.samediff.SDLayerParams
 
search(ViterbiLattice) - Method in class com.atilika.kuromoji.viterbi.ViterbiSearcher
Find best path from input lattice.
search(INDArray, double) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the approximate neighbors within a distance bound.
search(INDArray, int) - Method in interface org.deeplearning4j.clustering.lsh.LSH
Returns the approximate neighbors within a k-closest bound
search(INDArray, double) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
search(INDArray, int) - Method in class org.deeplearning4j.clustering.lsh.RandomProjectionLSH
 
search(INDArray, int, List<DataPoint>, List<Double>) - Method in class org.deeplearning4j.clustering.vptree.VPTree
 
search(VPTree.Node, INDArray, int, PriorityQueue<HeapObject>, double) - Method in class org.deeplearning4j.clustering.vptree.VPTree
 
search() - Method in class org.deeplearning4j.clustering.vptree.VPTreeFillSearch
 
search() - Method in class org.deeplearning4j.nearestneighbor.server.NearestNeighbor
 
SEARCH_DIR - Static variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
searchState - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
secondary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
secondary - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
SecondIterationFunction - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
SecondIterationFunction(Broadcast<Map<String, Object>>, Broadcast<double[]>, Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.SecondIterationFunction
 
secretKey - Variable in class org.deeplearning4j.aws.s3.BaseS3
 
securityGroupIDs(List<String>) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The id of additional security groups this deployment should adopt for both master and slaves
seed(long) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Seed for random number generation (used for repeatability).
seed - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
seed(long) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
seed - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
seed - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
seed(long) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
seed(long) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
seed(long) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
seed(long) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines random seed for random numbers generator
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
seed - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
seed(long) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets seed for random numbers generator.
seed(long) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines random seed for random numbers generator
seed - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
seed(long) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Random number generator seed.
seed - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
seed(long) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
RNG seed for reproducibility
seed(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
RNG seed for reproducibility
seed - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
seed - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
seed(long) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies random seed to be used during weights initialization;
SEED - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
segmenter() - Static method in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
Return a sentence segmenter
selfScore() - Method in class org.ansj.domain.Term
 
selfScore(double) - Method in class org.ansj.domain.Term
 
selfScore - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
sendMessage(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
This method does loops encoded data back to updates queue
sendMessage(INDArray) - Method in class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method sends given message to all registered recipients
Sentence(String) - Constructor for class org.ansj.app.summary.SummaryComputer.Sentence
 
SentenceAnnotator - Class in org.deeplearning4j.text.annotator
 
SentenceAnnotator() - Constructor for class org.deeplearning4j.text.annotator.SentenceAnnotator
 
SentenceBatch - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
SentenceBatch() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
 
sentenceCounter - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
sentenceIter - Variable in class org.deeplearning4j.models.word2vec.Word2Vec
 
sentenceIterator - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
sentenceIterator - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
sentenceIterator - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
SentenceIterator - Interface in org.deeplearning4j.text.sentenceiterator
A sentence iterator that knows how to iterate over sentence.
SentenceIteratorConverter - Class in org.deeplearning4j.text.sentenceiterator.interoperability
Simple class providing compatibility between SentenceIterator/LabelAwareSentenceIterator and LabelAwareIterator
SentenceIteratorConverter(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
SentenceIteratorConverter(SentenceIterator, LabelsSource) - Constructor for class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
SentencePreProcessor - Interface in org.deeplearning4j.text.sentenceiterator
Sentence pre processor.
sentenceProvider(LabeledSentenceProvider) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareDocumentIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentenceProvider(LabelAwareSentenceIterator, List<String>) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how the (labelled) sentences / documents should be provided
sentences - Variable in class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
 
sentences - Variable in class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
sentencesAlongHeight(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
If true (default): output features data with shape [minibatchSize, 1, maxSentenceLength, wordVectorSize]
If false: output features with shape [minibatchSize, 1, wordVectorSize, maxSentenceLength]
sentenceTransformer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.BasicTransformerIterator
 
SentenceTransformer - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
This simple class is responsible for conversion lines of text to Sequences of SequenceElements to fit them into SequenceVectors model
SentenceTransformer.Builder - Class in org.deeplearning4j.models.sequencevectors.transformers.impl
 
SeparableConvolution2D - Class in org.deeplearning4j.nn.conf.layers
2D Separable convolution layer configuration.
SeparableConvolution2D(SeparableConvolution2D.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D
SeparableConvolution2D layer nIn in the input layer is the number of channels nOut is the number of filters to be used in the net or in other words the channels The builder specifies the filter/kernel size, the stride and padding The pooling layer takes the kernel size
SeparableConvolution2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
SeparableConvolution2DLayer - Class in org.deeplearning4j.nn.layers.convolution
2D Separable convolution layer implementation Separable convolutions split a regular convolution operation into two simpler operations, which are usually computationally more efficient.
SeparableConvolution2DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
SeparableConvolution2DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.SeparableConvolution2DLayer
 
SeparableConvolutionParamInitializer - Class in org.deeplearning4j.nn.params
Initialize separable convolution params.
SeparableConvolutionParamInitializer() - Constructor for class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
sepConvBlock(ComputationGraphConfiguration.GraphBuilder, int, int, int, String, String) - Static method in class org.deeplearning4j.zoo.model.helper.NASNetHelper
 
Sequence<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.sequence
Sequence for SequenceVectors is defined as limited set of SequenceElements.
Sequence() - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Creates new empty sequence
Sequence(Collection<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Creates new sequence from collection of elements
sequenceAlignmentMode(RecordReaderMultiDataSetIterator.AlignmentMode) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
Set the sequence alignment mode for all sequences
SequenceElement - Class in org.deeplearning4j.models.sequencevectors.sequence
SequenceElement is basic building block for SequenceVectors.
SequenceElement() - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
SequenceElementFactory<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
This is interface for JSON -> SequenceElement serialization/deserialziation
sequenceId - Variable in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
 
sequenceIter - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
sequenceIterator - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
sequenceIterator - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
SequenceIterator<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
SequenceIterator is basic interface for learning abstract data that can be represented as sequence of some elements.
SequenceLearningAlgorithm<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings.learning
Implementations of this interface should contain sequence-related learning algorithms.
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
sequenceLearningAlgorithm(SequenceLearningAlgorithm<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
sequenceLearningAlgorithm(SequenceLearningAlgorithm<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
sequenceLearningAlgorithm(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets specific LearningAlgorithm as Sequence Learning Algorithm
sequenceLearningAlgorithm(SequenceLearningAlgorithm<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets specific LearningAlgorithm as Sequence Learning Algorithm
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
sequenceLearningAlgorithm - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
sequenceLength() - Method in interface org.deeplearning4j.graph.api.IVertexSequence
Length of the vertex sequence
sequenceLength() - Method in class org.deeplearning4j.graph.graph.VertexSequence
 
sequenceRecord() - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
sequenceRecord(URI, DataInputStream) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
SequenceRecordReaderDataSetIterator - Class in org.deeplearning4j.datasets.datavec
Sequence record reader data set iterator Given a record reader (and optionally another record reader for the labels) generate time series (sequence) data sets.
Supports padding for one-to-many and many-to-one type data loading (i.e., with different number of inputs vs.
SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from different RecordReaders (for example, different files), and labels are for classification.
SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from different RecordReaders (for example, different files)
SequenceRecordReaderDataSetIterator(SequenceRecordReader, SequenceRecordReader, int, int, boolean, SequenceRecordReaderDataSetIterator.AlignmentMode) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from different RecordReaders (for example, different files)
SequenceRecordReaderDataSetIterator(SequenceRecordReader, int, int, int) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from the SAME RecordReader (i.e., target/label is a column in the same data as the features).
SequenceRecordReaderDataSetIterator(SequenceRecordReader, int, int, int, boolean) - Constructor for class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
Constructor where features and labels come from the SAME RecordReader (i.e., target/label is a column in the same data as the features)
SequenceRecordReaderDataSetIterator.AlignmentMode - Enum in org.deeplearning4j.datasets.datavec
Alignment mode for dealing with input/labels of differing lengths (for example, one-to-many and many-to-one type situations).
sequencesCount - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
SequenceTransformer<T extends SequenceElement,V> - Interface in org.deeplearning4j.models.sequencevectors.transformers
 
SequenceVectors<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors
SequenceVectors implements abstract features extraction for Sequences and SequenceElements, using SkipGram, CBOW or DBOW (for Sequence features extraction).
SequenceVectors() - Constructor for class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
SequenceVectors.AsyncSequencer - Class in org.deeplearning4j.models.sequencevectors
This class is used to fetch data from iterator in background thread, and convert it to List It becomes very usefull if text processing pipeline behind iterator is complex, and we're not loading data from simple text file with whitespaces as separator.
SequenceVectors.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors
 
serialize(ConfusionMatrix<Integer>, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.eval.serde.ConfusionMatrixSerializer
 
serialize(ROC[], JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.eval.serde.ROCArraySerializer
 
serialize(ROC, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.eval.serde.ROCSerializer
 
serialize(T) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.SequenceElementFactory
This method serializaes object into JSON string
serialize(T) - Method in class org.deeplearning4j.models.sequencevectors.serialization.AbstractElementFactory
This method serializaes object into JSON string
serialize(VocabWord) - Method in class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
This method serializaes object into JSON string
serialize(StorageLevel, JsonGenerator, SerializerProvider) - Method in class org.deeplearning4j.spark.util.serde.StorageLevelSerializer
 
serializeWithType(ROC, JsonGenerator, SerializerProvider, TypeSerializer) - Method in class org.deeplearning4j.eval.serde.ROCSerializer
 
SerializingListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
This is example VectorsListener implementation.
SerializingListener() - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener
 
SerializingListener.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
 
serialVersionUID - Static variable in class org.deeplearning4j.aws.s3.BaseS3
 
seriesColors - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
seriesColors(Color...) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
seriesColors(String...) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
seriesColors - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
sessionExists(String) - Method in interface org.deeplearning4j.api.storage.StatsStorage
Check if the specified session ID exists or not
sessionExists(String) - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
sessionExists(String) - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
sessionID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionID() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionID() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionID(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
sessionIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
sessionIDs - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
SessionTypeId() - Constructor for class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeId
 
SessionTypeWorkerId(String, String, String) - Constructor for class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeWorkerId
 
set(int, int) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler.GrowableIntArray
 
set(boolean, int) - Method in class org.deeplearning4j.datasets.iterator.parallel.MultiBoolean
Sets specified entry to specified state
setAbsTolx(double) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
Sets the tolerance of absolute diff in function value.
setActive(boolean) - Method in class org.ansj.domain.NewWord
 
setAddress(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
setAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
setAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setAmbiguityForest(Forest) - Method in class org.ansj.splitWord.Analysis
 
setAnalysisEngine(AnalysisEngine) - Method in class org.deeplearning4j.text.uima.UimaResource
 
setAnalysisType(T) - Method in class org.ansj.app.keyword.KeyWordComputer
 
setBackpropGradientsViewArray(INDArray) - Method in interface org.deeplearning4j.nn.api.Model
Set the gradients array as a view of the full (backprop) network parameters NOTE: this is intended to be used internally in MultiLayerNetwork and ComputationGraph, not by users.
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setBackpropGradientsViewArray(INDArray) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setBackpropGradientsViewArray(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setBatchSize(int) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Set the batch size for the optimizer
setBatchSize(int) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setBegin(int) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setBegin(int) - Method in class org.deeplearning4j.text.movingwindow.Window
 
setBias(INDArray) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
setBinCount(int) - Method in class org.deeplearning4j.ui.weights.HistogramBin.Builder
Specifies number of bins for output histogram
setBoundary(Cell) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setBufferSizePerSplit(int) - Method in class org.deeplearning4j.datasets.iterator.parallel.JointParallelDataSetIterator.Builder
 
setCacheMode(CacheMode) - Method in interface org.deeplearning4j.nn.api.Layer
This method sets given CacheMode for current layer
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method sets specified CacheMode for all layers within network
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setCacheMode(CacheMode) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method sets specified CacheMode for all layers within network
setCachePerDevice(long) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec.Builder
This method lets you to define if decompressed values will be cached, to avoid excessive decompressions.
setCapacityPerFlow(int) - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
Deprecated.
This method defines, how
setCasPool(CasPool) - Method in class org.deeplearning4j.text.uima.UimaResource
 
setCategories(char, String[]) - Method in class com.atilika.kuromoji.dict.CharacterDefinitions
 
setCenterOfMass(INDArray) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setChars(char[], int, int) - Method in interface org.ansj.splitWord.GetWords
 
setChars(char[], int, int) - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
setClustersInfos(Map<String, ClusterInfo>) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
setCodeLength(short) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method fills codes and points up to codeLength
setCodes(Map<Integer, INDArray>) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setCodes(List<Byte>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Sets Huffman tree codes
setCollectMetaData(boolean) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
When set to true: metadata for the current examples will be present in the returned DataSet.
setCollectTrainingStats(boolean) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Set whether the training statistics should be collected.
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Set whether training statistics should be collected for debugging purposes.
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
setCollectTrainingStats(boolean) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
setConf(NeuralNetConfiguration) - Method in interface org.deeplearning4j.nn.api.Model
Setter for the configuration
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setConf(NeuralNetConfiguration) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setConf(Configuration) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
setConstraints(List<LayerConstraint>) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
setConstraints(List<LayerConstraint>) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
setContext(CamelContext) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder
 
setCoOccurrenceCounts(Broadcast<CounterMap<String, String>>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setCorner(int, double) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
setCorner(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.StreamWork
 
setCount(AtomicInteger) - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
setCounter(int) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
setCountForDoc(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Set exact number of observed documents that contain specified word Please note: this method is NOT thread-safe
setCountForDoc(String, long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
setCountForDoc(String, long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Set the count for the number of documents the word appears in
setCreds(AWSCredentials) - Method in class org.deeplearning4j.aws.s3.BaseS3
 
setCrfModel(SplitWord) - Method in class org.ansj.splitWord.analysis.NlpAnalysis
 
setCumSize(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setCumSize(int) - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
setCurrent(int) - Method in class org.deeplearning4j.datasets.mnist.MnistManager
Set the position to be read.
setCurrentIndex(long) - Method in class org.deeplearning4j.datasets.mnist.MnistDbFile
Set the required current entry index.
setData(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setDefaultCollapsed(boolean) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
Set the default collapsed/expanded state
setDefaultLanguage(String) - Method in interface org.deeplearning4j.ui.api.I18N
Set the default language
setDefaultLanguage(String) - Method in class org.deeplearning4j.ui.i18n.DefaultI18N
 
setDepth(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
This method specifies, how deep walker goes from starting point Default value: 1
setDepth(int) - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
Deprecated.
setDictionaryEntries(List<GenericDictionaryEntry>) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
Deprecated.
setDistance(double) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
setDistancesBetweenClustersCenters(Table<String, String, Double>) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
setElementFrequency(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method sets frequency value for this element
setElementsLearningAlgorithm(SparkElementsLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setElementsLearningAlgorithm(SparkElementsLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
setEnabled(boolean) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
setEnd(int) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setEnd(int) - Method in class org.deeplearning4j.text.movingwindow.Window
 
setEntriesLimit(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
This method sets the limit to resulting vocabulary size.
setEpochCount(int) - Method in interface org.deeplearning4j.nn.api.Layer
Set the current epoch count (number of epochs passed ) for the layer/network
setEpochCount(int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setEpochCount(int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setEpochCount(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setEpsilon(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
setEpsilon(INDArray) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setEpsilon(INDArray) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Set the errors (epsilon - aka dL/dActivation) for this GraphVertex
setError(double) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setError(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setExpTable(double[]) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setExpTable(Broadcast<double[]>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setExpTable(double[]) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setExternalSource(Queue<INDArray>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
setExternalSource(Queue<INDArray>) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method allows to pass external updates to accumulator, they will be populated across all workers using this GradientsAccumulator instance
setExternalSource(Queue<INDArray>) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method allows to pass external updates to accumulator, they will be populated across all workers using this GradientsAccumulator instance
setFeatureExtractor(int) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Specify a layer to set as a "feature extractor" The specified layer and the layers preceding it will be "frozen" with parameters staying constant
setFeatureExtractor(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Specify a layer vertex to set as a "feature extractor" The specified layer vertex and the layers on the path from an input vertex to it it will be "frozen" with parameters staying constant
setFetchSize(int) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
setFetchSize(int) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
setFilenamePrefix(boolean) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
This method allows you to define template for file names that will be created during serialization
setFinalMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setFinalMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setForests(Forest...) - Method in class org.ansj.splitWord.Analysis
 
setFrameId(long) - Method in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
setFrequency(int) - Method in class org.deeplearning4j.optimize.listeners.PerformanceListener.Builder
Desired TrainingListener activation frequency
setFrom(Term) - Method in class org.ansj.domain.Term
 
setGain(double) - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
setGen(Random) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setGoldLabel(int) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setGradientFor(String, INDArray) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
setGradientFor(String, INDArray, Character) - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
setGradientFor(String, INDArray) - Method in interface org.deeplearning4j.nn.gradient.Gradient
Update gradient for the given variable
setGradientFor(String, INDArray, Character) - Method in interface org.deeplearning4j.nn.gradient.Gradient
Update gradient for the given variable; also (optionally) specify the order in which the array should be flattened to a row vector
setGradients(Map<String, Map>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setGradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method allows you to specificy GradientsAccumulator instance to be used with this model
setGradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
This method allows you to specificy GradientsAccumulator instance to be used with this model PLEASE NOTE: Do not use this method unless you understand how to use GradientsAccumulator & updates sharing.
setGradientsAccumulator(GradientsAccumulator) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
This method specifies GradientsAccumulator instance to be used for updates sharing across multiple models
setGradientsAccumulator(GradientsAccumulator) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setGraphWalker(GraphWalker<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
setGridWidth(Double, Double) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Set the grid lines to be enabled, and if enabled: set the grid.
setGridWidth(Integer, Integer) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Set the grid lines to be enabled, and if enabled: set the grid.
setHeadWord(String) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setHh(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
setHistoricalGradient(INDArray) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Deprecated.
setHw(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
setInboundLayerNames(List<String>) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Set list of inbound layers.
setIndex(int) - Method in class org.deeplearning4j.clustering.sptree.HeapItem
 
setIndex(int) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Sets index in Huffman tree
setIndex(InvertedIndex<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
setIndex(int) - Method in interface org.deeplearning4j.nn.api.Layer
Set the layer index.
setIndex(int) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setIndex(int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setIndex(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setInitialMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setInitialMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setInput(INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Layer
Set the layer input.
setInput(int, INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the specified input for the ComputationGraph
setInput(int, INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
setInput(int, INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setInput(int, INDArray, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Set the input activations.
setInput(int, INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
setInput(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setInput(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setInput(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setInput(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setInput(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Note that if input isn't null and the neuralNets are null, this is a way of initializing the neural network
setInput(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setInput(Observer, INDArray) - Method in class org.deeplearning4j.parallelism.ParallelInference.ObservablesProvider
 
setInput(Observer, INDArray...) - Method in class org.deeplearning4j.parallelism.ParallelInference.ObservablesProvider
 
setInput(Observer, INDArray[], INDArray[]) - Method in class org.deeplearning4j.parallelism.ParallelInference.ObservablesProvider
 
setInputMiniBatchSize(int) - Method in interface org.deeplearning4j.nn.api.Layer
Set current/last input mini-batch size.
Used for score and gradient calculations.
setInputMiniBatchSize(int) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setInputMiniBatchSize(int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setInputMiniBatchSize(int) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setInputMiniBatchSize(int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setInputMiniBatchSize(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setInputPreProcessor(int, InputPreProcessor) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.Builder
Specify the preprocessor for the added layers for cases where they cannot be inferred automatically.
setInputs(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set all inputs for the ComputationGraph network
setInputs(INDArray...) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setInputs(INDArray...) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Set all inputs for this GraphVertex
setInputs(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Sets new inputs for the computation graph.
setInputShape(int[][]) - Method in interface org.deeplearning4j.zoo.InstantiableModel
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.AlexNet
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.Darknet19
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.FaceNetNN4Small2
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.InceptionResNetV1
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.LeNet
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.NASNet
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.ResNet50
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.SimpleCNN
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.SqueezeNet
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.TextGenerationLSTM
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.TinyYOLO
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.UNet
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.VGG16
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.VGG19
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.Xception
 
setInputShape(int[][]) - Method in class org.deeplearning4j.zoo.model.YOLO2
 
setInputType(InputType) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
setInputType(InputType) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.ListBuilder
 
setInputTypes(InputType...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Specify the types of inputs to the network, so that:
(a) preprocessors can be automatically added, and
(b) the nIns (input size) for each layer can be automatically calculated and set
The order here is the same order as .addInputs().
setInputTypes(InputType...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Sets the input type of corresponding inputs.
setInputVertices(VertexIndices[]) - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
setInputVertices(VertexIndices[]) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setInputVertices(VertexIndices[]) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Sets the input vertices.
setInvert(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setIsNameRecognition(Boolean) - Method in class org.ansj.splitWord.Analysis
 
setIsNumRecognition(Boolean) - Method in class org.ansj.splitWord.Analysis
 
setIsQuantifierRecognition(Boolean) - Method in class org.ansj.splitWord.Analysis
 
setIsRealName(Boolean) - Method in class org.ansj.splitWord.Analysis
 
setIterationCount(int) - Method in interface org.deeplearning4j.nn.api.Layer
Set the current iteration count (number of parameter updates) for the layer/network
setIterationCount(int) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setIterationCount(int) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setIterationCount(int) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setIterations(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setIterator(LabelAwareIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setIterator(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setIterator(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setIterator(LabelAwareIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setIterator(DocumentIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setIterator(SentenceIterator) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setIWM - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
setK(K) - Method in class org.ansj.domain.KV
 
setLabel(List<String>) - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
setLabel(int, INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the specified label for the ComputationGraph
setLabel(String) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelledDocument
Deprecated.
setLabel(String) - Method in class org.deeplearning4j.text.movingwindow.Window
 
setLabelNames(List<String>) - Method in class org.deeplearning4j.eval.EvaluationBinary
Set the label names, for printing via EvaluationBinary.stats()
setLabelNames(List<String>) - Method in class org.deeplearning4j.eval.ROCBinary
Set the label names, for printing via ROCBinary.stats()
setLabels(INDArray) - Method in interface org.deeplearning4j.nn.api.layers.IOutputLayer
Set the labels array for this output layer
setLabels(INDArray...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set all labels for the ComputationGraph network
setLabels(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
setLabels(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
setLabels(INDArray) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
setLabels(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setLabelsProvider(LabelsProvider<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
setLabelsSource(LabelsSource) - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
TODO: To be implemented
setLabelTemplate(String) - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator.Builder
Label template will be used for sentence labels generation.
setLastChecked(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setLastChecked(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setLastEtlTime(long) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
This method allows to set ETL field time, useful for performance tracking
setLastEtlTime(long) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setLastUpdateTime(long) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setLastWords(AtomicLong) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setLatestScore(double) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
setLayerAsFrozen() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
setLayerAsFrozen() - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setLayerAsFrozen() - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Only applies to layer vertices.
setLayerAsFrozen() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
setLayerMaskArrays(INDArray[], INDArray[]) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the mask arrays for features and labels.
setLayerMaskArrays(INDArray, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the mask arrays for features and labels.
setLayerName(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
setLayerName(String) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayerWithBackprop
 
setLayerName(String) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
setLayerNames(List<String>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setLayerParamLR(String) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
setLayers(Layer[]) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setLayerWiseConfigurations(MultiLayerConfiguration) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setLeaf(boolean) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setLearningAlgorithm(SparkElementsLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
This method defines the learning algorithm that will be used during training
setLearningRate(double) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
setLearningRate(double) - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
Set the learning rate
setLearningRate(double) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
setLearningRate(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setLearningRate(double) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Sets the learning rate
setLearningRate(double) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the learning rate for all layers in the network to the specified value.
setLearningRate(ISchedule) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the learning rate schedule for all layers in the network to the specified schedule.
setLearningRate(String, double) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the learning rate for a single layer in the network to the specified value.
setLearningRate(String, ISchedule) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the learning rate schedule for a single layer in the network to the specified value.
Note also that ComputationGraph.setLearningRate(ISchedule) should also be used in preference, when all layers need to be set to a new LR schedule.
This schedule will replace any/all existing schedules, and also any fixed learning rate values.
Note also that the iteration/epoch counts will not be reset.
setLearningRate(double) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the learning rate for all layers in the network to the specified value.
setLearningRate(ISchedule) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the learning rate schedule for all layers in the network to the specified schedule.
setLearningRate(int, double) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the learning rate for a single layer in the network to the specified value.
setLearningRate(int, ISchedule) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the learning rate schedule for a single layer in the network to the specified value.
Note also that MultiLayerNetwork.setLearningRate(ISchedule) should also be used in preference, when all layers need to be set to a new LR schedule.
This schedule will replace any/all existing schedules, and also any fixed learning rate values.
Note also that the iteration/epoch counts will not be reset.
setLearningRate(double) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setLearningRate(double) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
setLearningRate(MultiLayerNetwork, double) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate for all layers in the network to the specified value.
setLearningRate(MultiLayerNetwork, ISchedule) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate schedule for all layers in the network to the specified schedule.
setLearningRate(MultiLayerNetwork, int, double) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate for a single layer in the network to the specified value.
setLearningRate(MultiLayerNetwork, int, ISchedule) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate schedule for a single layer in the network to the specified value.
Note also that NetworkUtils.setLearningRate(MultiLayerNetwork, ISchedule) should also be used in preference, when all layers need to be set to a new LR schedule.
This schedule will replace any/all existing schedules, and also any fixed learning rate values.
Note also that the iteration/epoch counts will not be reset.
setLearningRate(ComputationGraph, double) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate for all layers in the network to the specified value.
setLearningRate(ComputationGraph, ISchedule) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate schedule for all layers in the network to the specified schedule.
setLearningRate(ComputationGraph, String, double) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate for a single layer in the network to the specified value.
setLearningRate(ComputationGraph, String, ISchedule) - Static method in class org.deeplearning4j.util.NetworkUtils
Set the learning rate schedule for a single layer in the network to the specified value.
Note also that NetworkUtils.setLearningRate(ComputationGraph, ISchedule) should also be used in preference, when all layers need to be set to a new LR schedule.
This schedule will replace any/all existing schedules, and also any fixed learning rate values.
Note also that the iteration/epoch counts will not be reset.
setLearnTool(LearnTool) - Method in class org.ansj.splitWord.analysis.NlpAnalysis
 
setLeft(PatriciaTrie.PatriciaNode<V>) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Set this node's left node
setLeft(KDTree.KDNode) - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
setLeftNode(ViterbiNode) - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
 
setListener(EarlyStoppingListener<T>) - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
setListener(EarlyStoppingListener<T>) - Method in interface org.deeplearning4j.earlystopping.trainer.IEarlyStoppingTrainer
Set the early stopping listener
setListener(EarlyStoppingListener<T>) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
setListener(EarlyStoppingListener<T>) - Method in class org.deeplearning4j.spark.earlystopping.BaseSparkEarlyStoppingTrainer
 
setListeners(TrainingListener...) - Method in interface org.deeplearning4j.nn.api.Layer
Set the iteration listeners for this layer.
setListeners(Collection<TrainingListener>) - Method in interface org.deeplearning4j.nn.api.Layer
Set the iteration listeners for this layer.
setListeners(Collection<TrainingListener>) - Method in interface org.deeplearning4j.nn.api.Model
Set the trainingListeners for the ComputationGraph (and all layers in the network)
setListeners(TrainingListener...) - Method in interface org.deeplearning4j.nn.api.Model
Set the trainingListeners for the ComputationGraph (and all layers in the network)
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the trainingListeners for the ComputationGraph (and all layers in the network)
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the trainingListeners for the ComputationGraph (and all layers in the network)
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setListeners(TrainingListener...) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setListeners(Collection<TrainingListener>) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.optimize.Solver
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
This method allows you to specify trainingListeners for this model.
setListeners(TrainingListener...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
This method allows you to specify trainingListeners for this model.
setListeners(StatsStorageRouter, TrainingListener...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners that implement the RoutingIterationListener interface)
setListeners(StatsStorageRouter, Collection<? extends TrainingListener>) - Method in class org.deeplearning4j.parallelism.ParallelWrapper
Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners that implement the RoutingIterationListener interface)
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Set the trainingListeners for the ComputationGraph (and all layers in the network)
setListeners(TrainingListener...) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Set the trainingListeners for the ComputationGraph (and all layers in the network)
setListeners(Collection<TrainingListener>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Set the iteration listeners.
setListeners(StatsStorageRouter, Collection<TrainingListener>) - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Set the iteration listeners and the StatsStorageRouter.
setListeners(RecordListener...) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
setListeners(Collection<RecordListener>) - Method in class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
setListeners(StatsStorageRouter, Collection<TrainingListener>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.spark.impl.SparkListenable
This method allows you to specify trainingListeners for this model.
setListeners(TrainingListener...) - Method in class org.deeplearning4j.spark.impl.SparkListenable
This method allows you to specify trainingListeners for this model.
setListeners(StatsStorageRouter, TrainingListener...) - Method in class org.deeplearning4j.spark.impl.SparkListenable
Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners that implement the RoutingIterationListener interface)
setListeners(StatsStorageRouter, Collection<? extends TrainingListener>) - Method in class org.deeplearning4j.spark.impl.SparkListenable
Set the listeners, along with a StatsStorageRouter that the results will be shuffled to (in the case of any listeners that implement the RoutingIterationListener interface)
setListeners(Collection<TrainingListener>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
setListeners(StatsStorageRouter, Collection<TrainingListener>) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
setlocFreq(int[][]) - Method in class org.ansj.domain.PersonNatureAttr
词频记录表
setLogin(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
setLookupTable(WeightLookupTable) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
setLower(double) - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
setLr(AtomicDouble) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setLr(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setMask(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setMaskArray(INDArray) - Method in interface org.deeplearning4j.nn.api.Layer
Set the mask array.
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setMaskArray(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setMAX_EXP(double) - Static method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setMaxCount(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
setMaxCount(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setMaxIter(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setMaxIter(int) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setMaxIterations(int) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
setMean(double) - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
setMean(double) - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
setMean(double) - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
setMessageHandlerClass(String) - Method in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
setMessageHandlerClass(MessageHandler) - Method in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
setMinAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
setMinAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setMinAlpha(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setMinWordFrequency(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setMinWordFrequency(int) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setMode(MagicQueue.Mode) - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
Deprecated.
 
setModelExporter(SparkModelExporter<T>) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setModelExporter(SparkModelExporter<VocabWord>) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
This method defines the way model will be exported after training is finished
setModelUtils(ModelUtils) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Specifies ModelUtils to be used to access model
setModelUtils(ModelUtils) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
setModelUtils(ModelUtils) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Specifies ModelUtils to be used to access model PLEASE NOTE: This method has no effect in this implementation.
setMomentum(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setMomentum(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setName(String) - Method in class org.ansj.app.keyword.Keyword
 
setName(String) - Method in class org.ansj.domain.NewWord
 
setName(String) - Method in class org.ansj.domain.Term
 
setNature(Nature) - Method in class org.ansj.domain.NewWord
 
setNature(Nature) - Method in class org.ansj.domain.Term
 
setNatureStrToArray(String) - Static method in class org.ansj.domain.TermNature
 
setNegative(double) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setNegative(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setNegative(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setNegative(double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setNetwork(ComputationGraph) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
setNetwork(MultiLayerNetwork) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Set the network that underlies this SparkDl4jMultiLayer instacne
setNewWord(boolean) - Method in class org.ansj.domain.Term
 
setNext(Term) - Method in class org.ansj.domain.Term
返回他自己
setNextRandom(AtomicLong) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
setNextRandom(AtomicLong) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setNextRandom(AtomicLong) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setNGrams(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies N of n-Grams :)
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ActivationLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.BatchNormalization
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.CnnLossLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.DropoutLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.GlobalPoolingLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Layer
Set the nIn value (number of inputs, or input channels for CNNs) based on the given input type
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.LocalResponseNormalization
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.misc.FrozenLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.NoParamLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.objdetect.Yolo2OutputLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnLossLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.RnnOutputLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding1DLayer
 
setNIn(InputType, boolean) - Method in class org.deeplearning4j.nn.conf.layers.ZeroPadding3DLayer
 
setNoEdgeHandling(NoEdgeHandling) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
setNoEdgeHandling(NoEdgeHandling) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
setNoEdgeHandling(NoEdgeHandling) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
This method defines walker behavior when it gets to node which has no next nodes available Default value: RESTART_ON_DISCONNECTED
setNoLeverageOverride(String) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
setNorthEast(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setNorthWest(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setNumberOfBuckets(int) - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
Deprecated.
 
setNumChildren(int) - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
setNumDimensions(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setNumWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setNumWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setNumWords(int) - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
setOffe(int) - Method in class org.ansj.domain.Term
 
setOutputBatches(List<INDArray[]>) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
setOutputBatches(List<INDArray[]>) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
setOutputBatches(List<INDArray[]>) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
setOutputException(Exception) - Method in interface org.deeplearning4j.parallelism.inference.InferenceObservable
 
setOutputException(Exception) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObservable
 
setOutputs(String...) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Set the network output labels.
setOutputs(String...) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
Set outputs to the computation graph, will add to ones that are existing Also determines the order, like in ComputationGraphConfiguration
setOutputVertex(boolean) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setOutputVertex(boolean) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
Set the GraphVertex to be an output vertex
setOutputVertices(VertexIndices[]) - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
setOutputVertices(VertexIndices[]) - Method in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
setOutputVertices(VertexIndices[]) - Method in interface org.deeplearning4j.nn.graph.vertex.GraphVertex
set the output vertices.
setParam(String, INDArray) - Method in interface org.deeplearning4j.nn.api.Model
Set the parameter with a new ndarray
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setParam(String, INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setParam(String, INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setParam(Broadcast<Word2VecParam>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
setParameters(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Sets parameters for the model.
setParameters(Map<String, Map>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setParameterServerConfiguration(VoidConfiguration) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setParameterServerConfiguration(VoidConfiguration) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
setParamMagnitudes(List<Map<String, List<Double>>>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setParams(Set<String>) - Method in interface org.deeplearning4j.nn.api.layers.LayerConstraint
Set the parameters that this layer constraint should be applied to
setParams(INDArray) - Method in interface org.deeplearning4j.nn.api.Model
Set the parameters for this model.
setParams(INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setParams(INDArray, char) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setParams(INDArray, char) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setParams(INDArray, char) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setParams(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the parameters for this model.
setParams(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setParamsViewArray(INDArray) - Method in interface org.deeplearning4j.nn.api.Model
Set the initial parameters array as a view of the full (backprop) network parameters NOTE: this is intended to be used internally in MultiLayerNetwork and ComputationGraph, not by users.
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setParamsViewArray(INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setParamTable(Map<String, INDArray>) - Method in interface org.deeplearning4j.nn.api.Model
Setter for the param table
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.samediff.SameDiffLayer
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setParamTable(Map<String, INDArray>) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setParent(KDTree.KDNode) - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
setParent(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setParent(Tree) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setParse(String) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setPassword(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
setPath(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
If you're using UiServer as servlet, located not at root folder of webserver (i.e.
setPath(String) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setPathCost(int) - Method in class com.atilika.kuromoji.viterbi.ViterbiNode
param cost minimum path cost found this far
setPathScore(Term, Map<String, Double>) - Method in class org.ansj.domain.Term
核心构建最优的路径
setPathSelfScore(Term) - Method in class org.ansj.domain.Term
核心分数的最优的路径,越小越好
setPersonNatureAttr(PersonNatureAttr) - Method in class org.ansj.domain.TermNatures
 
setPointLocationChange(AtomicInteger) - Method in class org.deeplearning4j.clustering.info.ClusterSetInfo
 
setPoints(List<Integer>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Sets Huffman tree points
setPoints(int[]) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
Sets Huffman tree points
setPopularityMode(PopularityMode) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method defines which nodes should be taken in account when choosing next hope: maximum popularity, lowest popularity, or average popularity.
setPopularitySpread(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method defines, how much nodes should take place in next hop selection.
setPort(int) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
 
setPosition(int) - Method in class org.deeplearning4j.parallelism.inference.observers.BatchedInferenceObservable
 
setPrediction(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Set a pre processor
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Set a pre processor
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Set a pre processor
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldMultiDataSetIterator
Set the preprocessor to be applied to each MultiDataSet, before each MultiDataSet is returned.
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationMultiDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkMultiDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.impl.MultiDataSetIteratorAdapter
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.IteratorMultiDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.spark.iterator.PathSparkMultiDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamMultiDataSetIterator
 
setPreProcessor(DataSetPreProcessor) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
setPreProcessor(MultiDataSetPreProcessor) - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.AggregatingSentenceIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BaseSentenceIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BasicLineIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.BasicResultSetIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.MutipleEpochsSentenceIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator
Deprecated.
 
setPreProcessor(SentencePreProcessor) - Method in interface org.deeplearning4j.text.sentenceiterator.SentenceIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator.Builder
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.StreamLineIterator
 
setPreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
setProbabilityOfSuccess(double) - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
setProperties(Object, Properties) - Static method in class org.deeplearning4j.util.Dl4jReflection
Sets the properties of the given object
setRDDVarMap(JavaRDD<String>, Broadcast<Map<String, Object>>) - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
setRealMin(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setRealMin(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setRealName(String) - Method in class org.ansj.domain.Term
 
setRealName(Graph, List<Term>) - Method in class org.ansj.splitWord.Analysis
将为标准化的词语设置到分词中
setRegion(Regions) - Method in class org.deeplearning4j.aws.ec2.Ec2BoxCreator
 
setRelTolx(double) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
Sets the tolerance of relative diff in function value.
setRestartProbability(double) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
setRestartProbability(double) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
setRestartProbability(double) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
This method defines a chance for walk restart Good value would be somewhere between 0.03-0.07
setRight(PatriciaTrie.PatriciaNode<V>) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Set this node's right node
setRight(KDTree.KDNode) - Method in class org.deeplearning4j.clustering.kdtree.KDTree.KDNode
 
setRounding(int) - Method in class org.deeplearning4j.ui.weights.HistogramBin.Builder
Sets number of numbers behind decimal part
setSamplingMode(SamplingMode) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
This method defines sorting which will be used to generate walks.
setScavengerActivationThreshold(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method is needed ONLY for unit tests and should NOT be available in public scope.
setScore(double) - Method in class org.ansj.app.keyword.Keyword
 
setScore(double) - Method in class org.ansj.domain.NewWord
 
setScore(NatureRecognition.NatureTerm) - Method in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
setScore(double) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
setScore(double) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
setScore(double) - Method in class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
setScore(double) - Method in class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
setScore(double) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setScoreFor(INDArray, LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
setScores(List<Double>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setScoreWithZ(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
setScoreWithZ(INDArray) - Method in class org.deeplearning4j.nn.layers.BaseOutputLayer
 
setScoreWithZ(INDArray) - Method in class org.deeplearning4j.nn.layers.BasePretrainNetwork
 
setScoreWithZ(INDArray) - Method in class org.deeplearning4j.nn.layers.LossLayer
 
setScoreWithZ(INDArray) - Method in class org.deeplearning4j.nn.layers.training.CenterLossOutputLayer
 
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method specifies random seed.
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method specifies random seed.
setSeed(long) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
This method specifies random seed.
setSeed(long, int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.VocabHolder
 
setSentence(List<VocabWord>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
setSentenceIterator(SentenceIterator) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
This method defines SentenceIterator instance, that will be used as training corpus source
setSentencePreProcessor(SentencePreProcessor) - Method in class org.deeplearning4j.text.sentenceiterator.PrefetchingSentenceIterator.Builder
Deprecated.
 
setSequenceIterator(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method defines SequenceIterator instance, that will be used as training corpus source.
setSequenceIterator(SequenceIterator<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
This method defines SequenceIterator instance, that will be used as training corpus source.
setSequenceLabel(T) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Set sequence label
setSequenceLabels(List<T>) - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
Sets sequence labels
setSequenceLearningAlgorithm(SparkSequenceLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setSequenceLearningAlgorithm(SparkSequenceLearningAlgorithm) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
setSequencesCount(long) - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
This method sets documents count to specified value
setSerializedModelFileName(String) - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
setSessionID(String) - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
setSessionID(String) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
setSessionId(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo.Builder
This method allows you to specify sessionId for this UiConnectionInfo instance PLEASE NOTE: This is not recommended.
setSessionId(String) - Method in class org.deeplearning4j.ui.UiConnectionInfo
 
setSimiarlityFunction(String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
setSize(int) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setSouthEast(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setSouthWest(QuadTree) - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
 
setSpreadSpectrum(SpreadSpectrum) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method allows you to define, if nodes within popularity spread should have equal chances to be picked for next hop, or they should have chances proportional to their popularity.
setStateViewArray(Layer, INDArray, boolean) - Method in interface org.deeplearning4j.nn.api.Updater
Set the internal (historical) state view array for this updater
setStateViewArray(INDArray) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
Set the view array.
setStateViewArray(Layer, INDArray, boolean) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
setStats(SparkTrainingStats) - Method in interface org.deeplearning4j.spark.api.TrainingResult
 
setStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingResult
 
setStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingResult
 
setStatsStorage(StatsStorageRouter) - Method in class org.deeplearning4j.ui.module.remote.RemoteReceiverModule
 
setStd(double) - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
setStd(double) - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
setStd(double) - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
setStem(boolean) - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
setStem(Token, String) - Method in class org.deeplearning4j.text.annotator.StemmerAnnotator
 
setStepMax(double) - Method in class org.deeplearning4j.optimize.solvers.BackTrackLineSearch
 
setStopWords(Collection<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setStopWords(Collection<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setStopWords(Collection<String>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
setStorageLevel(StorageLevel) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
setStorageLevel(StorageLevel) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
setStorageRouter(StatsStorageRouter) - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
setStorageRouter(StatsStorageRouter) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
setStr(String) - Method in interface org.ansj.splitWord.GetWords
同一个对象传入词语
setStr(String) - Method in class org.ansj.splitWord.impl.GetWordsImpl
 
setSubTerm(List<Term>) - Method in class org.ansj.domain.Term
 
setSwitchMomentumIteration(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
setSwitchMomentumIteration(int) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
setSyn0(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setSyn1(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setSyn1Neg(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setSynonyms(List<String>) - Method in class org.ansj.domain.Term
 
setTable(INDArray) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setTable(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setTable(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setTableId(Long) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Set's table Id.
setTags(List<String>) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setTargetFolder(String) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
This method specifies target folder where models should be saved
setTargetFolder(File) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener.Builder
This method specifies target folder where models should be saved
setTargetVocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
After temporary internal vocabulary is built, it will be transferred to target VocabCache you pass here
setTemplate(int[][]) - Method in class org.ansj.app.crf.Config
 
setTermination(boolean) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
setTerminationReason(IterationTerminationCondition) - Method in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
setTerms(List<Term>) - Method in class org.ansj.domain.Result
 
setTo(Term) - Method in class org.ansj.domain.Term
 
setToAndfrom(Term, Term) - Static method in class org.ansj.util.TermUtil
 
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec
This method defines TokenizerFactory instance to be using during model building
setTokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
This method defines tokenizer htat will be used for corpus tokenization
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ChineseTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.DefaultTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.JapaneseTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.KoreanTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.NGramTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.PosUimaTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in interface org.deeplearning4j.text.tokenization.tokenizer.Tokenizer
Set the token pre process
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerFactory.ChineseTokenizerFactory
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.DefaultTokenizerFactory
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.JapaneseTokenizerFactory
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.KoreanTokenizerFactory
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.NGramTokenizerFactory
 
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.PosUimaTokenizerFactory
 
setTokenPreProcessor(TokenPreProcess) - Method in interface org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory
Sets a token pre processor to be used with every tokenizer
setTokenPreProcessor(TokenPreProcess) - Method in class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
setTokens(Map<String, VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
setTokens(List<String>) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setTotalWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setTotalWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setTWM - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
setType(String) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setType(MagicQueue.Type) - Method in class org.deeplearning4j.parallelism.MagicQueue.Builder
Deprecated.
 
setUncaughtExceptionHandler(Thread.UncaughtExceptionHandler) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
setUNK(String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
setUNK(String) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
setUNK(String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
setUnk(T) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
 
setup(ClusteringStrategy) - Static method in class org.deeplearning4j.clustering.algorithm.BaseClusteringAlgorithm
 
setup(int, int, String, boolean) - Static method in class org.deeplearning4j.clustering.kmeans.KMeansClustering
Setup a kmeans instance
setup(int, double, String, boolean, boolean) - Static method in class org.deeplearning4j.clustering.kmeans.KMeansClustering
 
setup(int, int, String) - Static method in class org.deeplearning4j.clustering.kmeans.KMeansClustering
Setup a kmeans instance
setup(int, double, String, boolean) - Static method in class org.deeplearning4j.clustering.kmeans.KMeansClustering
 
setup(int, String, boolean) - Static method in class org.deeplearning4j.clustering.strategy.FixedClusterCountStrategy
 
setup(int, String) - Static method in class org.deeplearning4j.clustering.strategy.OptimisationStrategy
 
setup(SparkConf) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
 
setup(SparkConf) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setUpdateConfig(StatsUpdateConfiguration) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
setUpdateMagnitudes(List<Map<String, List<Double>>>) - Method in class org.deeplearning4j.ui.weights.beans.CompactModelAndGradient
 
setUpdater(ComputationGraphUpdater) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Set the computationGraphUpdater for the network
setUpdater(Updater) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Set the updater for the MultiLayerNetwork
setUpdater(Updater) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
 
setUpdater(Updater) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setUpdaterComputationGraph(ComputationGraphUpdater) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
 
setUpdaterComputationGraph(ComputationGraphUpdater) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
setupIfNeccessary() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
setUpper(double) - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
setupSearchState(Pair<Gradient, Double>) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Based on the gradient and score setup a search state
setupSearchState(Pair<Gradient, Double>) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
Setup the initial search state
setupSearchState(Pair<Gradient, Double>) - Method in class org.deeplearning4j.optimize.solvers.LBFGS
 
setUseAdaGrad(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setUseAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setUseAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setUseAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setUseHS(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
SetUtils - Class in org.deeplearning4j.clustering.util
 
setV(V) - Method in class org.ansj.domain.KV
 
setValue(V) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
Sets this node's value
setValue(double) - Method in class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
 
setValue(String) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setVector(INDArray) - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
setVectorLength(int) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setVectorLength(int) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setVectorLength(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
setVectorLength(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setVectorLength(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setVectorsListeners(Collection<VectorsListener<VocabWord>>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method sets VectorsListeners for this SequenceVectors model
setVectorsListeners(Collection<VectorsListener<V>>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
setVectorsListeners(Collection<VectorsListener<VocabWord>>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method sets VectorsListeners for this SequenceVectors model
setVectorsListeners(Collection<VectorsListener<T>>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method sets VectorsListeners for this SequenceVectors model
setVectorsListeners(Collection<VectorsListener<VocabWord>>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method sets VectorsListeners for this SequenceVectors model
setVertexVectors(INDArray) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
setVocab(VocabCache<VocabWord>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
setVocab(VocabCache<VocabWord>) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
setVocab(VocabCache) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
setVocab(VocabCache) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
setVocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
setVocabs(Map<String, VocabWord>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
setW1(VocabWord) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW1BiasHistory(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW1BiasUpdate(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW1History(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW1Update(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW2(VocabWord) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW2BiasHistory(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW2BiasUpdate(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW2History(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setW2Update(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
setWalkDirection(WalkDirection) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method defines next hop selection within walk
setWalkDirection(WalkDirection) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method defines next hop selection within walk
setWalkDirection(WalkDirection) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
This method defines next hop selection within walk
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
This method defines maximal number of nodes to be visited during walk.
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
This method specifies output sequence (walk) length
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
This method specifies output sequence (walk) length
setWalkLength(int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker.Builder
This method specifies output sequence (walk) length
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Set weights for Keras layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasConvolution1D
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasDepthwiseConvolution2D
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.convolutional.KerasSeparableConvolution2D
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.core.KerasDense
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.embeddings.KerasEmbedding
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.normalization.KerasBatchNormalization
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
Set weights for layer.
setWeights(Map<String, INDArray>) - Method in class org.deeplearning4j.nn.modelimport.keras.layers.wrappers.KerasBidirectional
Set weights for Bidirectional layer.
setWeights(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setWeights(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setWidth(int, double) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
setWidth(INDArray) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
setWindow(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setWindow(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setWord(String) - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
setWord(String) - Method in class org.deeplearning4j.ui.nearestneighbors.word2vec.NearestNeighborsQuery
 
setWordCount(Broadcast<AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setWordCount(Broadcast<AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
setWordFrequencies(Counter<String>) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
setWords(List<String>) - Method in class org.deeplearning4j.text.movingwindow.Window
 
setWordsSeen(Long) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
setWordsSeen(AtomicLong) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
setWork(String) - Method in class org.deeplearning4j.models.word2vec.VocabWork
 
setWorkerID(String) - Method in interface org.deeplearning4j.api.storage.listener.RoutingIterationListener
 
setWorkerID(String) - Method in class org.deeplearning4j.ui.stats.BaseStatsListener
 
setWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.transferlearning.TransferLearning.GraphBuilder
 
setX(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
setxMax(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable
Deprecated.
 
setxMax(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam
 
setXMax(Double) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Used to override/set the maximum value for the x axis.
setXMin(Double) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Used to override/set the minimum value for the x axis.
setXValues(double[]) - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea.Builder
Set the x-axis values
setY(double) - Method in class org.deeplearning4j.clustering.quadtree.Cell
 
setYMax(Double) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Used to override/set the maximum value for the y axis.
setYMin(Double) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
Used to override/set the minimum value for the y axis.
shakeFrequency - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
shakeFrequency - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
shakeFrequency - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
shakeFrequency(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
During NN training, each X iterations, executors will send encoded dense updates with lower threshold.
shakeFrequency - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
ShallowSequenceElement - Class in org.deeplearning4j.models.sequencevectors.sequence
This is special shallow SequenceElement implementation, that doesn't hold labels or any other custom user-defined data
ShallowSequenceElement(double, long) - Constructor for class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
 
shallowVocabBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
shallowVocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
shallowVocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
shallowVocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
shallowVocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
shallowVocabCacheBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
shape - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
SharedFlatMapDataSet<R extends TrainingResult> - Class in org.deeplearning4j.spark.parameterserver.functions
 
SharedFlatMapDataSet(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapDataSet
 
SharedFlatMapMultiDataSet<R extends TrainingResult> - Class in org.deeplearning4j.spark.parameterserver.functions
Created by raver119 on 13.06.17.
SharedFlatMapMultiDataSet(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapMultiDataSet
 
SharedFlatMapMultiPDS<R extends TrainingResult> - Class in org.deeplearning4j.spark.parameterserver.functions
Created by raver119 on 14.06.17.
SharedFlatMapMultiPDS(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapMultiPDS
 
SharedFlatMapMultiPDS(TrainingWorker<R>, PortableDataStreamMDSCallback) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapMultiPDS
 
SharedFlatMapPaths<R extends TrainingResult> - Class in org.deeplearning4j.spark.parameterserver.functions
 
SharedFlatMapPaths(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapPaths
 
SharedFlatMapPathsMDS<R extends TrainingResult> - Class in org.deeplearning4j.spark.parameterserver.functions
 
SharedFlatMapPathsMDS(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapPathsMDS
 
SharedFlatMapPDS<R extends TrainingResult> - Class in org.deeplearning4j.spark.parameterserver.functions
 
SharedFlatMapPDS(TrainingWorker<R>) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapPDS
 
SharedFlatMapPDS(TrainingWorker<R>, PortableDataStreamCallback) - Constructor for class org.deeplearning4j.spark.parameterserver.functions.SharedFlatMapPDS
 
SharedGradient - Class in org.deeplearning4j.optimize.listeners
 
SharedGradient() - Constructor for class org.deeplearning4j.optimize.listeners.SharedGradient
 
SharedTrainingAccumulationFunction - Class in org.deeplearning4j.spark.parameterserver.accumulation
 
SharedTrainingAccumulationFunction() - Constructor for class org.deeplearning4j.spark.parameterserver.accumulation.SharedTrainingAccumulationFunction
 
SharedTrainingAccumulationTuple - Class in org.deeplearning4j.spark.parameterserver.accumulation
 
SharedTrainingAccumulationTuple() - Constructor for class org.deeplearning4j.spark.parameterserver.accumulation.SharedTrainingAccumulationTuple
 
SharedTrainingAggregateFunction - Class in org.deeplearning4j.spark.parameterserver.accumulation
 
SharedTrainingAggregateFunction() - Constructor for class org.deeplearning4j.spark.parameterserver.accumulation.SharedTrainingAggregateFunction
 
SharedTrainingConfiguration - Class in org.deeplearning4j.spark.parameterserver.conf
 
SharedTrainingConfiguration() - Constructor for class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
SharedTrainingMaster - Class in org.deeplearning4j.spark.parameterserver.training
 
SharedTrainingMaster() - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
SharedTrainingMaster(VoidConfiguration, Integer, RDDTrainingApproach, StorageLevel, boolean, RepartitionStrategy, Repartition, double, double, double, double, int, int, int, long, int) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
SharedTrainingMaster.Builder - Class in org.deeplearning4j.spark.parameterserver.training
 
SharedTrainingResult - Class in org.deeplearning4j.spark.parameterserver.training
 
SharedTrainingResult() - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingResult
 
SharedTrainingWorker - Class in org.deeplearning4j.spark.parameterserver.training
 
SharedTrainingWorker(Broadcast<NetBroadcastTuple>, Broadcast<SharedTrainingConfiguration>) - Constructor for class org.deeplearning4j.spark.parameterserver.training.SharedTrainingWorker
 
SharedTrainingWrapper - Class in org.deeplearning4j.spark.parameterserver.pw
This class maintains ParallelWrapper instance in Spark environment, and provides primitives for inter-executor communication during training over partitions.
SharedTrainingWrapper() - Constructor for class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
shiftFactor - Variable in class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
ShiftVertex - Class in org.deeplearning4j.nn.conf.graph
A ShiftVertex is used to shift the activations of a single layer
One could use it to add a bias or as part of some other calculation.
ShiftVertex(double) - Constructor for class org.deeplearning4j.nn.conf.graph.ShiftVertex
 
ShiftVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
A ShiftVertex is used to shift the activations of a single layer
One could use it to add a bias or as part of some other calculation.
ShiftVertex(ComputationGraph, String, int, double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
ShiftVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], double) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
shouldStop(AtomicBoolean) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
shouldStop - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
shouldUpdate(AtomicBoolean) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
shouldUpdate - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
shouldWork - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
shouldWork - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
shouldWork - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
showLegend(boolean) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
 
showMessage(String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
shuffle - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
shuffle - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
shuffle(boolean) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Parameter specifying, if cooccurrences list should be shuffled between training epochs
shuffle(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Parameter specifying, if cooccurrences list should be shuffled between training epochs
shuffle - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
shuffle - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
shuffleArray(int[], long) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
shuffleArray(int[], Random) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
shuffleExamples(JavaRDD<DataSet>, int, int) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Randomly shuffle the examples in each DataSet object, and recombine them into new DataSet objects with the specified BatchSize
shuffleOnReset(boolean) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
shutdown() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator.AsyncPrefetchThread
 
shutdown() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
This method will terminate background thread AND will destroy attached workspace (if any) PLEASE NOTE: After shutdown() call, this instance can't be used anymore
shutdown() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator.AsyncPrefetchThread
 
shutdown() - Method in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
This method will terminate background thread AND will destroy attached workspace (if any) PLEASE NOTE: After shutdown() call, this instance can't be used anymore
shutdown() - Method in class org.deeplearning4j.parallelism.AsyncIterator
 
shutdown() - Method in class org.deeplearning4j.parallelism.ParallelInference
This method gracefully shuts down ParallelInference instance
shutdown() - Method in class org.deeplearning4j.parallelism.ParallelWrapper
This method causes all threads used for parallel training to stop
shutdown() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
shutdown() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Shutdown this worker
shutdown() - Method in class org.deeplearning4j.text.documentiterator.AsyncLabelAwareIterator
 
shutdown() - Method in class org.deeplearning4j.text.documentiterator.BasicLabelAwareIterator
 
shutdown() - Method in class org.deeplearning4j.text.documentiterator.FileLabelAwareIterator
 
shutdown() - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator
 
shutdown() - Method in class org.deeplearning4j.text.documentiterator.interoperability.DocumentIteratorConverter
 
shutdown() - Method in interface org.deeplearning4j.text.documentiterator.LabelAwareIterator
 
shutdown() - Method in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
shutdown() - Method in class org.deeplearning4j.text.sentenceiterator.interoperability.SentenceIteratorConverter
 
sigmoid(double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
1 / 1 + exp(-x)
SilentIntroductoryConfirmation - Class in org.deeplearning4j.spark.parameterserver.networking.messages
 
SilentIntroductoryConfirmation() - Constructor for class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryConfirmation
 
SilentIntroductoryMessage - Class in org.deeplearning4j.spark.parameterserver.networking.messages
 
SilentIntroductoryMessage() - Constructor for class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
SilentIntroductoryMessage(String, int) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.messages.SilentIntroductoryMessage
 
SilentTrainingDriver - Class in org.deeplearning4j.spark.parameterserver.networking
This TrainingDriver implementation is suited ONLY for Spark Master, and handles application & redistribution of incoming encoded messages across distributed network
SilentTrainingDriver(GradientsAccumulator) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
SilentTrainingDriver(INDArray, StepFunction) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
SilentUpdatesMessage - Class in org.deeplearning4j.spark.parameterserver.networking.messages
 
SilentUpdatesMessage() - Constructor for class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
SilentUpdatesMessage(INDArray, long) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
similarity(Vertex<V>, Vertex<V>) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
Returns the cosine similarity of the vector representations of two vertices in the graph
similarity(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
Returns the cosine similarity of the vector representations of two vertices in the graph, given the indices of these verticies
similarity(Vertex<V>, Vertex<V>) - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
similarity(int, int) - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
similarity(String, String) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Returns the similarity of 2 words.
similarity(String, String) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
This method implementations should return distance between two given elements
similarity(String, String) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Returns the similarity of 2 words
similarity(String, String) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Returns similarity of two elements, provided by ModelUtils
similarity(String, String) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Returns the similarity of 2 words
SimilarityComparator() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.SimilarityComparator
 
similarityFunction(String) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
SimilarityListener<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.listeners
Simple listener, to monitor similarity between selected elements during training
SimilarityListener(ListenerEvent, int, String, String) - Constructor for class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
 
similarityToLabel(String, String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
Deprecated.
similarityToLabel(LabelledDocument, String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns similarity of the document to specific label, based on mean value
similarityToLabel(List<VocabWord>, String) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors
This method returns similarity of the document to specific label, based on mean value
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Find all words with a similar characters in the vocab
similarWordsInVocabTo(String, double) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Find all words with a similar characters in the vocab PLEASE NOTE: This method is not available in this implementation.
SimpleCNN - Class in org.deeplearning4j.zoo.model
A simple convolutional network for generic image classification.
SimpleLabelAwareIterator - Class in org.deeplearning4j.text.documentiterator
This class provide option to build LabelAwareIterator from Iterable or Iterator objects PLEASE NOTE: This iterator is meant to be used with externally-originated data via Java Iterable/Iterator interface.
SimpleLabelAwareIterator(Iterable<LabelledDocument>) - Constructor for class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
Builds LabelAwareIterator instance using Iterable object
SimpleLabelAwareIterator(Iterator<LabelledDocument>) - Constructor for class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
Builds LabelAwareIterator instance using Iterator object PLEASE NOTE: If instance is built using Iterator object, reset() method becomes unavailable
SimpleResourceResolver - Class in com.atilika.kuromoji.util
 
SimpleResourceResolver(Class<?>) - Constructor for class com.atilika.kuromoji.util.SimpleResourceResolver
 
SimpleRnn - Class in org.deeplearning4j.nn.conf.layers.recurrent
Simple RNN - aka "vanilla" RNN is the simplest type of recurrent neural network layer.
SimpleRnn(SimpleRnn.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.recurrent.SimpleRnn
 
SimpleRnn - Class in org.deeplearning4j.nn.layers.recurrent
Simple RNN - aka "vanilla" RNN is the simplest type of recurrent neural network layer.
SimpleRnn(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
SimpleRnn.Builder - Class in org.deeplearning4j.nn.conf.layers.recurrent
 
SimpleRnnParamInitializer - Class in org.deeplearning4j.nn.params
 
SimpleRnnParamInitializer() - Constructor for class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
SingletonMultiDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
A very simple adapter class for converting a single MultiDataSet to a MultiDataSetIterator.
SingletonMultiDataSetIterator(MultiDataSet) - Constructor for class org.deeplearning4j.datasets.iterator.impl.SingletonMultiDataSetIterator
 
SingleToPairFunction<T> - Class in org.deeplearning4j.spark.impl.multilayer.scoring
 
SingleToPairFunction() - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.SingleToPairFunction
 
size() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Returns the number of key-value mappings in this trie
size() - Method in class org.ansj.domain.Result
 
size() - Method in class org.deeplearning4j.clustering.kdtree.KDTree
The number of elements in the tree
size() - Method in class org.deeplearning4j.models.glove.count.CountMap
 
size() - Method in class org.deeplearning4j.models.sequencevectors.sequence.Sequence
This method returns number of elements in this sequence
size - Variable in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer
 
size - Variable in class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer.UpsamplingBuilder
 
size(int) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D.Builder
Upsampling size int
size(int[]) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling1D.Builder
Upsampling size int array with a single element
size - Variable in class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
size(int) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D.Builder
Upsampling size int, used for both height and width
size(int[]) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling2D.Builder
Upsampling size array
size - Variable in class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
size(int) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D.Builder
Upsampling size as int, so same upsampling size is used for depth, width and height
size(int[]) - Method in class org.deeplearning4j.nn.conf.layers.Upsampling3D.Builder
Upsampling size as int, so same upsampling size is used for depth, width and height
size - Variable in class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
size() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
size() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
size() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method returns average queue size for all devices
size(int) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
size() - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
 
size() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
sizeInBytes - Variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
sizeOf(T) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
sizeOf(DataSet) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
sizeOf(MultiDataSet) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
skipDueToPretrainConfig() - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
SkipGram<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.learning.impl.elements
Skip-Gram implementation for dl4j SequenceVectors
SkipGram() - Constructor for class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
Dummy construction is required for reflection
skipGram - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
skipGram(int, List<VocabWord>, int, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
 
skipGram(Word2VecParam, int, List<VocabWord>, int, double, List<Triple<Integer, Integer, Integer>>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
Train via skip gram
skipGram(int, List<VocabWord>, int, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
Train via skip gram
skipGram(int, List<VocabWord>, int, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
Train via skip gram
sla - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
sleep(long) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
sleep(AtomicLong, long) - Method in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
sleepMode - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
SleepyTrainingListener - Class in org.deeplearning4j.optimize.listeners
This TrainingListener implementation provides a way to "sleep" during specific Neural Network training phases.
SleepyTrainingListener() - Constructor for class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
SleepyTrainingListener.SleepMode - Enum in org.deeplearning4j.optimize.listeners
 
SleepyTrainingListener.TimeMode - Enum in org.deeplearning4j.optimize.listeners
 
slimNode(RPNode) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Prune indices from the given node when it's a leaf
slope(double, double, double, double) - Method in class org.deeplearning4j.clustering.util.MathUtils
This returns the slope of the given points.
sm(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Tests if a is smaller than b.
SMALL - Static variable in class org.deeplearning4j.clustering.util.MathUtils
The small deviation allowed in double comparisons.
softwareInfo() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
softwareInfo(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
solver - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
solver - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
solver - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
solver - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
Solver - Class in org.deeplearning4j.optimize
Generic purpose solver
Solver() - Constructor for class org.deeplearning4j.optimize.Solver
 
Solver.Builder - Class in org.deeplearning4j.optimize
 
sortCandidates(INDArray, INDArray, List<Integer>, String) - Static method in class org.deeplearning4j.clustering.randomprojection.RPUtils
Get the sorted distances given the query vector, input data, given the list of possible search candidates
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
sourceGraph - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
SpaceToBatch - Class in org.deeplearning4j.nn.layers.convolution
Space to batch utility layer for convolutional input types.
SpaceToBatch(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
SpaceToBatch(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
SpaceToBatchLayer - Class in org.deeplearning4j.nn.conf.layers
Space to batch utility layer configuration for convolutional input types.
SpaceToBatchLayer(SpaceToBatchLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToBatchLayer
 
SpaceToBatchLayer.Builder<T extends SpaceToBatchLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
SpaceToDepth - Class in org.deeplearning4j.nn.layers.convolution
Space to channels utility layer for convolutional input types.
SpaceToDepth(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
SpaceToDepth(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
SpaceToDepthLayer - Class in org.deeplearning4j.nn.conf.layers
Space to channels utility layer configuration for convolutional input types.
SpaceToDepthLayer(SpaceToDepthLayer.Builder) - Constructor for class org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer
 
SpaceToDepthLayer.Builder<T extends SpaceToDepthLayer.Builder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
SpaceToDepthLayer.DataFormat - Enum in org.deeplearning4j.nn.conf.layers
 
SparkADSI - Class in org.deeplearning4j.spark.iterator
Spark version of AsyncDataSetIterator, made separate to propagate Spark TaskContext to new background thread, for Spark block locks compatibility
SparkADSI() - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, BlockingQueue<DataSet>) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, boolean) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, boolean, Integer) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, BlockingQueue<DataSet>, boolean) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI(DataSetIterator, int, BlockingQueue<DataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI
 
SparkADSI.SparkPrefetchThread - Class in org.deeplearning4j.spark.iterator
 
SparkAMDSI - Class in org.deeplearning4j.spark.iterator
Spark version of AsyncMultiDataSetIterator, made separate to propagate Spark TaskContext to new background thread, for Spark block locks compatibility
SparkAMDSI() - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, boolean) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, boolean, Integer) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI(MultiDataSetIterator, int, BlockingQueue<MultiDataSet>, boolean, DataSetCallback, Integer) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI
 
SparkAMDSI.SparkPrefetchThread - Class in org.deeplearning4j.spark.iterator
 
sparkAwsRegion - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkAwsRegion - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
SparkCBOW - Class in org.deeplearning4j.spark.models.sequencevectors.learning.elements
 
SparkCBOW() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkCBOW
 
sparkClusterName - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkClusterName - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
SparkComputationGraph - Class in org.deeplearning4j.spark.impl.graph
Main class for training ComputationGraph networks using Spark
SparkComputationGraph(SparkContext, ComputationGraph, TrainingMaster) - Constructor for class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
Instantiate a ComputationGraph instance with the given context and network.
SparkComputationGraph(JavaSparkContext, ComputationGraph, TrainingMaster) - Constructor for class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
SparkComputationGraph(SparkContext, ComputationGraphConfiguration, TrainingMaster) - Constructor for class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
SparkComputationGraph(JavaSparkContext, ComputationGraphConfiguration, TrainingMaster) - Constructor for class org.deeplearning4j.spark.impl.graph.SparkComputationGraph
 
SparkDataSetLossCalculator - Class in org.deeplearning4j.spark.earlystopping
Score calculator to calculate the total loss for the MultiLayerNetwork on that data set (data set as a JavaRDD), using Spark.
SparkDataSetLossCalculator(JavaRDD<DataSet>, boolean, SparkContext) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkDataSetLossCalculator
Calculate the score (loss function value) on a given data set (usually a test set)
SparkDataValidation - Class in org.deeplearning4j.spark.util.data
Utilities for validating DataSets and MultiDataSets saved (usually) in a HDFS directory.
SparkDBOW - Class in org.deeplearning4j.spark.models.sequencevectors.learning.sequence
Spark implementation for PV-DBOW training algorithm
SparkDBOW() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDBOW
 
SparkDl4jMultiLayer - Class in org.deeplearning4j.spark.impl.multilayer
Master class for spark
SparkDl4jMultiLayer(SparkContext, MultiLayerNetwork, TrainingMaster<?, ?>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Instantiate a multi layer spark instance with the given context and network.
SparkDl4jMultiLayer(SparkContext, MultiLayerConfiguration, TrainingMaster<?, ?>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Training constructor.
SparkDl4jMultiLayer(JavaSparkContext, MultiLayerConfiguration, TrainingMaster<?, ?>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
Training constructor.
SparkDl4jMultiLayer(JavaSparkContext, MultiLayerNetwork, TrainingMaster<?, ?>) - Constructor for class org.deeplearning4j.spark.impl.multilayer.SparkDl4jMultiLayer
 
SparkDM - Class in org.deeplearning4j.spark.models.sequencevectors.learning.sequence
Spark implementation for PV-DM training algorithm
SparkDM() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.SparkDM
 
SparkEarlyStoppingGraphTrainer - Class in org.deeplearning4j.spark.earlystopping
Class for conducting early stopping training via Spark on a ComputationGraph
SparkEarlyStoppingGraphTrainer(SparkContext, TrainingMaster, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, int, int) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
SparkEarlyStoppingGraphTrainer(JavaSparkContext, TrainingMaster, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, int, int) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
SparkEarlyStoppingGraphTrainer(SparkContext, TrainingMaster, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
SparkEarlyStoppingGraphTrainer(JavaSparkContext, TrainingMaster, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
SparkEarlyStoppingGraphTrainer(JavaSparkContext, TrainingMaster, EarlyStoppingConfiguration<ComputationGraph>, ComputationGraph, JavaRDD<MultiDataSet>, EarlyStoppingListener<ComputationGraph>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingGraphTrainer
 
SparkEarlyStoppingTrainer - Class in org.deeplearning4j.spark.earlystopping
Class for conducting early stopping training via Spark on a MultiLayerNetwork
SparkEarlyStoppingTrainer(SparkContext, TrainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
SparkEarlyStoppingTrainer(JavaSparkContext, TrainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
SparkEarlyStoppingTrainer(SparkContext, TrainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>, EarlyStoppingListener<MultiLayerNetwork>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
SparkEarlyStoppingTrainer(JavaSparkContext, TrainingMaster, EarlyStoppingConfiguration<MultiLayerNetwork>, MultiLayerNetwork, JavaRDD<DataSet>, EarlyStoppingListener<MultiLayerNetwork>) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkEarlyStoppingTrainer
 
SparkElementsLearningAlgorithm - Interface in org.deeplearning4j.spark.models.sequencevectors.learning
Identification layer for Spark-ready implementations of LearningAlgorithms
SparkEMRClient - Class in org.deeplearning4j.aws.emr
Configuration for a Spark EMR cluster
SparkEMRClient() - Constructor for class org.deeplearning4j.aws.emr.SparkEMRClient
 
SparkEMRClient.Builder - Class in org.deeplearning4j.aws.emr
 
sparkEmrClientBuilder - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkEmrClientBuilder - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkEmrConfigs - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkEmrConfigs - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkEmrRelease - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkEmrRelease - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkEmrServiceRole - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkEmrServiceRole - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkInstanceBidPrice - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkInstanceBidPrice - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkInstanceCount - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkInstanceCount - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkInstanceRole - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkInstanceRole - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkInstanceType - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkInstanceType - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkJobFlowInstancesConfig - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkJobFlowInstancesConfig - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
SparkListenable - Class in org.deeplearning4j.spark.impl
Created by huitseeker on 2/15/17.
SparkListenable() - Constructor for class org.deeplearning4j.spark.impl.SparkListenable
 
SparkLossCalculatorComputationGraph - Class in org.deeplearning4j.spark.earlystopping
Score calculator to calculate the total loss for the ComputationGraph on that data set (data set as a JavaRDD), using Spark.
Typically used to calculate the loss on a test set.
Note: to test a ComputationGraph on a DataSet use DataSetToMultiDataSetFn
SparkLossCalculatorComputationGraph(JavaRDD<MultiDataSet>, boolean, SparkContext) - Constructor for class org.deeplearning4j.spark.earlystopping.SparkLossCalculatorComputationGraph
Calculate the score (loss function value) on a given data set (usually a test set)
SparkModelExporter<T extends SequenceElement> - Interface in org.deeplearning4j.spark.models.sequencevectors.export
This interface describes
sparkMonitor() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Monitor the cluster and terminates when it times out
SparkParagraphVectors - Class in org.deeplearning4j.spark.models.paragraphvectors
 
SparkParagraphVectors() - Constructor for class org.deeplearning4j.spark.models.paragraphvectors.SparkParagraphVectors
 
SparkPrefetchThread(BlockingQueue<DataSet>, DataSetIterator, DataSet, MemoryWorkspace) - Constructor for class org.deeplearning4j.spark.iterator.SparkADSI.SparkPrefetchThread
 
SparkPrefetchThread(BlockingQueue<MultiDataSet>, MultiDataSetIterator, MultiDataSet) - Constructor for class org.deeplearning4j.spark.iterator.SparkAMDSI.SparkPrefetchThread
 
sparkRunJobFlowRequest - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkRunJobFlowRequest - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkS3ClientBuilder - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkS3ClientBuilder - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkS3JarFolder - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkS3JarFolder - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkS3PutObjectDecorator - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkS3PutObjectDecorator - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkSecurityGroupIds - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkSecurityGroupIds - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
SparkSequenceLearningAlgorithm - Interface in org.deeplearning4j.spark.models.sequencevectors.learning
Identification layer for Spark-ready implementations of LearningAlgorithms
SparkSequenceVectors<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors
Generic SequenceVectors implementation for dl4j-spark-nlp
SparkSequenceVectors() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
SparkSequenceVectors(VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
SparkSequenceVectors.Builder<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors
 
SparkSkipGram - Class in org.deeplearning4j.spark.models.sequencevectors.learning.elements
 
SparkSkipGram() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.learning.elements.SparkSkipGram
 
SparkSourceDummyReader - Class in org.deeplearning4j.spark.datavec.iterator
Dummy reader for use in IteratorUtils
SparkSourceDummyReader(int) - Constructor for class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummyReader
 
SparkSourceDummySeqReader - Class in org.deeplearning4j.spark.datavec.iterator
 
SparkSourceDummySeqReader(int) - Constructor for class org.deeplearning4j.spark.datavec.iterator.SparkSourceDummySeqReader
 
sparkSubmitConfs - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkSubmitConfs - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkSubmitJobWithMain(String[], String, File) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Submit a Spark Job with a specified main class
sparkSubNetid - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkSubnetId - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
sparkTimeoutDurationMinutes - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
 
sparkTimeOutDurationMinutes(int) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The timeout duration for this Spark EMR cluster, in minutes
sparkTimeoutDurationMinutes - Variable in class org.deeplearning4j.aws.emr.SparkEMRClient
 
SparkTrainingStats - Interface in org.deeplearning4j.spark.api.stats
SparkTrainingStats is an interface that is used for accessing training statistics, for multiple TrainingMaster implementations.
SparkUtils - Class in org.deeplearning4j.spark.util
Various utilities for Spark
SparkWord2Vec - Class in org.deeplearning4j.spark.models.word2vec
 
SparkWord2Vec() - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec
 
SparkWord2Vec(VoidConfiguration, VectorsConfiguration) - Constructor for class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec
 
SparkWord2Vec.Builder - Class in org.deeplearning4j.spark.models.word2vec
 
sparseCounter - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
sparsity(double) - Method in class org.deeplearning4j.nn.conf.layers.AutoEncoder.Builder
 
sparsity - Variable in class org.deeplearning4j.nn.conf.layers.AutoEncoder
 
SpatialDropout - Class in org.deeplearning4j.nn.conf.dropout
Spatial dropout: can only be applied to 4D (convolutional) activations.
SpatialDropout(double) - Constructor for class org.deeplearning4j.nn.conf.dropout.SpatialDropout
 
SpatialDropout(ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.SpatialDropout
 
SpatialDropout(double, ISchedule) - Constructor for class org.deeplearning4j.nn.conf.dropout.SpatialDropout
 
special - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
spectrum - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
 
spectrum - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
split - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
split - Variable in class org.ansj.domain.PersonNatureAttr
 
split(T) - Method in class org.deeplearning4j.datasets.iterator.file.BaseFileIterator
 
split(DataSet) - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
split(MultiDataSet) - Method in class org.deeplearning4j.datasets.iterator.file.FileMultiDataSetIterator
 
splitClusters(ClusterSet, ClusterSetInfo, List<Cluster>, double, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
splitClusters(ClusterSet, ClusterSetInfo, List<Cluster>, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
splitClustersWhereAverageDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
splitClustersWhereMaximumDistanceFromCenterGreaterThan(ClusterSet, ClusterSetInfo, double, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
SplitDataSetExamplesPairFlatMapFunction - Class in org.deeplearning4j.spark.data.shuffle
A PairFlatMapFunction that splits each example in a DataSet object into its own DataSet.
SplitDataSetExamplesPairFlatMapFunction(int) - Constructor for class org.deeplearning4j.spark.data.shuffle.SplitDataSetExamplesPairFlatMapFunction
 
SplitDataSetsFunction - Class in org.deeplearning4j.spark.data
Take an existing DataSet object, and split it into multiple DataSet objects with one example in each Usage:
SplitDataSetsFunction() - Constructor for class org.deeplearning4j.spark.data.SplitDataSetsFunction
 
splitMostPopulatedClusters(ClusterSet, ClusterSetInfo, int, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
splitMostSpreadOutClusters(ClusterSet, ClusterSetInfo, int, ExecutorService) - Static method in class org.deeplearning4j.clustering.cluster.ClusterUtils
 
SplitPartitionsFunction<T> - Class in org.deeplearning4j.spark.impl.common
SplitPartitionsFunction is used to split a RDD (using AbstractJavaRDDLike.mapPartitionsWithIndex(Function2, boolean) via filtering.
It is similar in design to JavaRDD.randomSplit(double[]) however it is less prone to producing imbalanced splits that that method.
SplitPartitionsFunction() - Constructor for class org.deeplearning4j.spark.impl.common.SplitPartitionsFunction
 
SplitPartitionsFunction2<T,U> - Class in org.deeplearning4j.spark.impl.common
Equivelent to SplitPartitionsFunction, but for JavaPairRDDs
SplitPartitionsFunction2() - Constructor for class org.deeplearning4j.spark.impl.common.SplitPartitionsFunction2
 
splitStr - Variable in class org.ansj.app.crf.Config
 
SplitWord - Class in org.ansj.app.crf
分词
SplitWord(Model) - Constructor for class org.ansj.app.crf.SplitWord
 
spread - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker.Builder
 
spread - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.PopularityWalker
 
SpreadSpectrum - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
This enum describes nodes selection for PopularityWalker.
SpTree - Class in org.deeplearning4j.clustering.sptree
 
SpTree(SpTree, INDArray, INDArray, INDArray, Set<INDArray>, String) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
 
SpTree(INDArray, Set<INDArray>, String) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
 
SpTree(SpTree, INDArray, INDArray, INDArray, Set<INDArray>) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
 
SpTree(INDArray, Set<INDArray>) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
 
SpTree(INDArray) - Constructor for class org.deeplearning4j.clustering.sptree.SpTree
 
squaredLoss(double[], double[], double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will return the squared loss of the given points
SqueezeNet - Class in org.deeplearning4j.zoo.model
U-Net An implementation of SqueezeNet.
ssError(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
How much of the variance is NOT explained by the regression
ssReg(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
How much of the variance is explained by the regression
ssTotal(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Total variance in target attribute
stackSize - Variable in class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
StackVertex - Class in org.deeplearning4j.nn.conf.graph
StackVertex allows for stacking of inputs so that they may be forwarded through a network.
StackVertex() - Constructor for class org.deeplearning4j.nn.conf.graph.StackVertex
 
StackVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
StackVertex allows for stacking of inputs so that they may be forwarded through a network.
StackVertex(ComputationGraph, String, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
StackVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[]) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
standardMemory(long, long) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Report the standard memory
start() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Start this trainer
start() - Method in class org.deeplearning4j.streaming.kafka.NDArrayConsumer
Start the consumer
start() - Method in class org.deeplearning4j.streaming.kafka.NDArrayPublisher
Start the publisher
startTime - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 
StartTimeComparator() - Constructor for class org.deeplearning4j.spark.stats.StatsUtils.StartTimeComparator
 
startTraining(SilentUpdatesMessage) - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
state - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
state - Variable in class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
state - Variable in class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
 
STATE_KEY_PREV_ACTIVATION - Static variable in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
STATE_KEY_PREV_ACTIVATION - Static variable in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
STATE_KEY_PREV_ACTIVATION - Static variable in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
STATE_KEY_PREV_MEMCELL - Static variable in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
STATE_KEY_PREV_MEMCELL - Static variable in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
stateMap - Variable in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
stateMap stores the INDArrays needed to do rnnTimeStep() forward pass.
states - Variable in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
staticInfo - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
StaticInfoDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
StaticInfoDecoder.HwDeviceInfoGroupDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoDecoder.ModelParamNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoDecoder.SwEnvironmentInfoDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
StaticInfoEncoder.HwDeviceInfoGroupEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoEncoder.ModelParamNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticInfoEncoder.SwEnvironmentInfoEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
StaticPageUtil - Class in org.deeplearning4j.ui.standalone
Idea: Render a set of components as a single static page.
StaticWord2Vec - Class in org.deeplearning4j.models.word2vec
This is special limited Word2Vec implementation, suited for serving as lookup table in concurrent multi-gpu environment This implementation DOES NOT load all vectors onto any of gpus, instead of that it holds vectors in, optionally, compressed state in host memory.
StaticWord2Vec.Builder - Class in org.deeplearning4j.models.word2vec
 
stats() - Method in class org.deeplearning4j.eval.Evaluation
Report the classification statistics as a String
stats(boolean) - Method in class org.deeplearning4j.eval.Evaluation
Method to obtain the classification report as a String
stats(boolean, boolean) - Method in class org.deeplearning4j.eval.Evaluation
Method to obtain the classification report as a String
stats() - Method in class org.deeplearning4j.eval.EvaluationBinary
Get a String representation of the EvaluationBinary class, using the default precision
stats(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get a String representation of the EvaluationBinary class, using the specified precision
stats() - Method in class org.deeplearning4j.eval.EvaluationCalibration
 
stats() - Method in interface org.deeplearning4j.eval.IEvaluation
 
stats() - Method in class org.deeplearning4j.eval.RegressionEvaluation
 
stats() - Method in class org.deeplearning4j.eval.ROC
 
stats() - Method in class org.deeplearning4j.eval.ROCBinary
 
stats(int) - Method in class org.deeplearning4j.eval.ROCBinary
 
stats() - Method in class org.deeplearning4j.eval.ROCMultiClass
 
stats(int) - Method in class org.deeplearning4j.eval.ROCMultiClass
 
stats - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
stats - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
statsAsString() - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
statsAsString() - Method in interface org.deeplearning4j.spark.api.stats.SparkTrainingStats
Get a String representation of the stats.
statsAsString() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingMasterStats
 
statsAsString() - Method in class org.deeplearning4j.spark.impl.paramavg.stats.ParameterAveragingTrainingWorkerStats
 
StatsCalculationHelper - Class in org.deeplearning4j.spark.api.stats
A helper class for collecting stats in ExecuteWorkerFlatMap and ExecuteWorkerMultiDataSetFlatMap
StatsCalculationHelper() - Constructor for class org.deeplearning4j.spark.api.stats.StatsCalculationHelper
 
statsCollectionDuration() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
statsCollectionDuration(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
statsCollectionDurationId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
statsCollectionDurationMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
statsCollectionDurationMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
statsCollectionDurationMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
statsCollectionDurationMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
statsCollectionDurationMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
statsCollectionDurationNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
statsCollectionDurationNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
StatsInitializationConfiguration - Interface in org.deeplearning4j.ui.stats.api
Configuration interface for static (unchanging) information, to be reported by StatsListener.
StatsInitializationReport - Interface in org.deeplearning4j.ui.stats.api
An interface used with StatsListener for reporting static information.
StatsListener - Class in org.deeplearning4j.ui.stats
StatsListener: a general purpose listener for collecting and reporting system and model information.
StatsListener(StatsStorageRouter) - Constructor for class org.deeplearning4j.ui.stats.StatsListener
Create a StatsListener with network information collected at every iteration.
StatsListener(StatsStorageRouter, int) - Constructor for class org.deeplearning4j.ui.stats.StatsListener
Create a StatsListener with network information collected every n >= 1 time steps
StatsListener(StatsStorageRouter, StatsInitializationConfiguration, StatsUpdateConfiguration, String, String) - Constructor for class org.deeplearning4j.ui.stats.StatsListener
 
StatSource - Enum in org.deeplearning4j.ui.stats.sbe
 
StatsReport - Interface in org.deeplearning4j.ui.stats.api
StatsReport: An interface for storing and serializing update information (such as scores, parameter histograms etc) for use in the StatsListener
StatsStorage - Interface in org.deeplearning4j.api.storage
A general-purpose stats storage mechanism, for storing stats information (mainly used for iteration listeners).
statsStorage - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
StatsStorageEvent - Class in org.deeplearning4j.api.storage
StatsStorageEvent: use with StatsStorageListener to specify when the state of the StatsStorage implementation changes.
Note that depending on the StatsStorageListener.EventType, some of the field may be null.
StatsStorageEvent() - Constructor for class org.deeplearning4j.api.storage.StatsStorageEvent
 
StatsStorageListener - Interface in org.deeplearning4j.api.storage
A listener interface, so that classes can be notified of changes to a StatsStorage implementation
StatsStorageListener.EventType - Enum in org.deeplearning4j.api.storage
 
StatsStorageRouter - Interface in org.deeplearning4j.api.storage
StatsStorageRouter is intended to route static info, metadata and updates somewhere - generally to a StatsStorage implementation.
StatsStorageRouterProvider - Interface in org.deeplearning4j.api.storage
Simple interface to provide a StatsStorageRouter.
StatsType - Enum in org.deeplearning4j.ui.stats.api
Stats type, for use in StatsListener Note: Gradients are pre-update (i.e., raw gradients - pre-LR/momentum/rmsprop etc), Updates are post update
StatsType - Enum in org.deeplearning4j.ui.stats.sbe
 
StatsUpdateConfiguration - Interface in org.deeplearning4j.ui.stats.api
Similar to StatsInitializationConfiguration, StatsUpdateConfiguration is an interface defining the stats that should be collected and reported periodically.
StatsUtils - Class in org.deeplearning4j.spark.stats
Utility methods for Spark training stats
StatsUtils.StartTimeComparator - Class in org.deeplearning4j.spark.stats
 
StatType - Enum in org.deeplearning4j.ui.stats.sbe
 
statType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
statType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
statType(StatsType) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
statType(StatsType) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
statTypeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
statTypeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
statTypeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
statTypeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
status - Variable in class org.ansj.app.crf.Model
 
status(char) - Static method in class org.ansj.library.DATDictionary
 
STATUS_UPDATE_FREQUENCY - Static variable in class org.deeplearning4j.graph.models.deepwalk.DeepWalk
 
std - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
stdevActivations() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
stdevActivations(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
stdevGradients() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
stdevGradients(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
stdevParameters() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
stdevParameters(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
stdevUpdates() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
stdevUpdates(boolean) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
stem - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
stem(boolean) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
StemmerAnnotator - Class in org.deeplearning4j.text.annotator
 
StemmerAnnotator() - Constructor for class org.deeplearning4j.text.annotator.StemmerAnnotator
 
StemmingPreprocessor - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
This tokenizer preprocessor implements basic cleaning inherited from CommonPreprocessor + does english Porter stemming on tokens PLEASE NOTE: This preprocessor is thread-safe by using synchronized method
StemmingPreprocessor() - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.StemmingPreprocessor
 
step(INDArray, INDArray, double) - Method in interface org.deeplearning4j.optimize.api.StepFunction
Step with the given parameters
step(INDArray, INDArray) - Method in interface org.deeplearning4j.optimize.api.StepFunction
Step with no parameters
step() - Method in interface org.deeplearning4j.optimize.api.StepFunction
 
step - Variable in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
step - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
step(INDArray, INDArray, double) - Method in class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction
Does x = x + stepSize * line
step(INDArray, INDArray) - Method in class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction
 
step() - Method in class org.deeplearning4j.optimize.stepfunctions.DefaultStepFunction
 
step(INDArray, INDArray, double) - Method in class org.deeplearning4j.optimize.stepfunctions.GradientStepFunction
 
step(INDArray, INDArray) - Method in class org.deeplearning4j.optimize.stepfunctions.GradientStepFunction
 
step() - Method in class org.deeplearning4j.optimize.stepfunctions.GradientStepFunction
 
step(INDArray, INDArray, double) - Method in class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction
 
step(INDArray, INDArray) - Method in class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction
 
step() - Method in class org.deeplearning4j.optimize.stepfunctions.NegativeDefaultStepFunction
 
step(INDArray, INDArray, double) - Method in class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction
 
step(INDArray, INDArray) - Method in class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction
 
step() - Method in class org.deeplearning4j.optimize.stepfunctions.NegativeGradientStepFunction
 
step(INDArray, int) - Method in class org.deeplearning4j.plot.BarnesHutTsne
An individual iteration
stepDelay - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
stepDelay - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
stepDelay - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
stepDelay(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Wait at least X iterations between applying threshold decay Default value: 50
stepDelay - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
stepForward() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
stepFunction - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
stepFunction(StepFunction) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Deprecated.
stepFunction - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
StepFunction - Class in org.deeplearning4j.nn.conf.stepfunctions
Custom step function for line search.
StepFunction() - Constructor for class org.deeplearning4j.nn.conf.stepfunctions.StepFunction
 
stepFunction(StepFunction) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
stepFunction - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
StepFunction - Interface in org.deeplearning4j.optimize.api
Custom step function for line search
stepFunction - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
stepFunction - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
StepFunctions - Class in org.deeplearning4j.optimize.stepfunctions
 
stepMax - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
stepTrigger - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
stepTrigger - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
stepTrigger - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
stepTrigger(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Target sparsity/dense level, when threshold step will happen.
stepTrigger - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
StochasticGradientDescent - Class in org.deeplearning4j.optimize.solvers
Stochastic Gradient Descent Standard fix step size No line search
StochasticGradientDescent(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
 
StochasticGradientDescent(NeuralNetConfiguration, StepFunction, Collection<TrainingListener>, Collection<TerminationCondition>, Model) - Constructor for class org.deeplearning4j.optimize.solvers.StochasticGradientDescent
 
STOP - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
stop() - Method in class org.deeplearning4j.nearestneighbor.server.NearestNeighborsServer
Stop the server
stop() - Method in class org.deeplearning4j.ui.api.UIServer
Stop/shut down the UI server.
stop() - Method in class org.deeplearning4j.ui.play.PlayUIServer
 
stopFit - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
stopFit() - Method in class org.deeplearning4j.parallelism.ParallelWrapper
Will stop a fit operation from continuing to iterate.
StopLibrary - Class in org.ansj.library
 
StopLibrary() - Constructor for class org.ansj.library.StopLibrary
 
stopLyingIteration(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
stopLyingIteration - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
stopLyingIteration - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
stopLyingIteration(int) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
stopLyingIteration - Variable in class org.deeplearning4j.plot.Tsne
 
stopPolling() - Method in class org.deeplearning4j.perf.listener.SystemPolling
Shut down the background polling
StopRecognition - Class in org.ansj.recognition.impl
对结果增加过滤,支持词性过滤,和词语过滤.
StopRecognition() - Constructor for class org.ansj.recognition.impl.StopRecognition
 
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
stopWords(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
stopWords - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
stopWords - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
stopWords(List<String>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
stopWords(Collection<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
stopWords(List<String>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
stopWords(Collection<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
stopWords(List<String>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines stop words that should be ignored during training
stopWords(Collection<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines stop words that should be ignored during training
stopWords - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
stopWords(List<String>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
You can provide collection of objects to be ignored, and excluded out of model Please note: Object labels and hashCode will be used for filtering
stopWords(Collection<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
You can provide collection of objects to be ignored, and excluded out of model Please note: Object labels and hashCode will be used for filtering
stopWords(List<String>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines stop words that should be ignored during training
stopWords(Collection<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines stop words that should be ignored during training
stopWords - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
stopWords(List<String>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method defines list of stop-words, that are to be ignored during vocab building and training
StopWords - Class in org.deeplearning4j.text.stopwords
Loads stop words from the class path
storage - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
storage - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
storageId - Variable in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
storageLevel - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
storageLevel - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
storageLevel(StorageLevel) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set the storage level for RDD<DataSet>s.
Default: StorageLevel.MEMORY_ONLY_SER() - i.e., store in memory, in serialized form
To use no RDD persistence, use null
storageLevel - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
storageLevel - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
storageLevel - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
storageLevel(StorageLevel) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Set the storage level for RDD<DataSet>s.
Default: StorageLevel.MEMORY_ONLY_SER() - i.e., store in memory, in serialized form
To use no RDD persistence, use null
storageLevel - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
StorageLevelDeserializer - Class in org.deeplearning4j.spark.util.serde
By default: Spark storage levels don't serialize/deserialize cleanly with Jackson (i.e., we can get different results out).
StorageLevelDeserializer() - Constructor for class org.deeplearning4j.spark.util.serde.StorageLevelDeserializer
 
StorageLevelSerializer - Class in org.deeplearning4j.spark.util.serde
By default: Spark storage levels don't serialize/deserialize cleanly with Jackson (i.e., we can get different results out).
StorageLevelSerializer() - Constructor for class org.deeplearning4j.spark.util.serde.StorageLevelSerializer
 
storageLevelStreams - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
storageLevelStreams - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
storageLevelStreams(StorageLevel) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set the storage level RDDs used when fitting data from Streams: either PortableDataStreams (sc.binaryFiles via SparkDl4jMultiLayer.fit(String) and SparkComputationGraph.fit(String)) or String paths (via SparkDl4jMultiLayer.fitPaths(JavaRDD), SparkComputationGraph.fitPaths(JavaRDD) and SparkComputationGraph.fitPathsMultiDataSet(JavaRDD)).
storageLevelStreams - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
StorageMetaData - Interface in org.deeplearning4j.api.storage
StorageMetaData: contains metadata (such at types, and arbitrary custom serializable data) for storage
storageMetaData - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
StorageMetaDataDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
StorageMetaDataDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
StorageMetaDataDecoder.ExtraMetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
StorageMetaDataEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
StorageMetaDataEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
StorageMetaDataEncoder.ExtraMetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
storageRouter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
StorageType - Enum in org.deeplearning4j.api.storage
Type of storage information
storeLabel(String) - Method in class org.deeplearning4j.text.documentiterator.LabelsSource
This method is intended for storing labels retrieved from external sources.
storeUpdate(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method accepts updates suitable for StepFunction, and accumulates/propagates it across all workers
storeUpdate(INDArray) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method accepts updates suitable for StepFunction, and accumulates/propagates it across all workers
storeUpdate(INDArray) - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method accepts updates suitable for StepFunction, and accumulates/propagates it across all workers
stream(String) - Static method in class org.ansj.dic.PathToStream
 
stream - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
StreamingPipeline - Class in org.deeplearning4j
Created by agibsoncccc on 6/6/16.
StreamingPipeline() - Constructor for class org.deeplearning4j.StreamingPipeline
 
StreamLineIterator - Class in org.deeplearning4j.text.sentenceiterator
Simple class suitable for iterating over InputStreams as over lines of strings Please note, this class is NOT thread safe
StreamLineIterator.Builder - Class in org.deeplearning4j.text.sentenceiterator
 
StreamWork - Class in org.deeplearning4j.models.word2vec
 
StreamWork(InputStreamCreator, AtomicInteger) - Constructor for class org.deeplearning4j.models.word2vec.StreamWork
 
stride(int) - Method in class org.deeplearning4j.nn.conf.layers.Convolution1DLayer.Builder
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.Convolution3D.Builder
Set stride size for 3D convolutions in (depth, height, width) order
stride - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BaseConvBuilder
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer.Builder
 
stride - Variable in class org.deeplearning4j.nn.conf.layers.ConvolutionLayer
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.Deconvolution2D.Builder
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.DepthwiseConvolution2D.Builder
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.SeparableConvolution2D.Builder
 
stride(int) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling1DLayer.Builder
Stride
stride - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.BaseSubsamplingBuilder
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.Builder
Stride
stride - Variable in class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
stride - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.BaseSubsamplingBuilder
 
stride(int...) - Method in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer.Builder
Stride
stride - Variable in class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
StringArrayIO - Class in com.atilika.kuromoji.io
 
StringArrayIO() - Constructor for class com.atilika.kuromoji.io.StringArrayIO
 
stringBuffer - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
StringCleaning - Class in org.deeplearning4j.text.tokenization.tokenizer.preprocessor
Various string cleaning utils
StringKeyMapper() - Constructor for class com.atilika.kuromoji.trie.PatriciaTrie.StringKeyMapper
 
stringSimilarity(String...) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Calculate string similarity with tfidf weights relative to each character frequency and how many times a character appears in a given string
StringToDataSetExportFunction - Class in org.deeplearning4j.spark.datavec.export
A function (used in forEachPartition) to convert Strings to DataSet objects using a RecordReader (such as a CSVRecordReader).
StringToDataSetExportFunction(URI, RecordReader, int, boolean, int, int) - Constructor for class org.deeplearning4j.spark.datavec.export.StringToDataSetExportFunction
 
StringUtils - Class in com.atilika.kuromoji.util
 
StringUtils() - Constructor for class com.atilika.kuromoji.util.StringUtils
 
StringValueMapBuffer - Class in com.atilika.kuromoji.buffer
 
StringValueMapBuffer(TreeMap<Integer, String>) - Constructor for class com.atilika.kuromoji.buffer.StringValueMapBuffer
 
StringValueMapBuffer(InputStream) - Constructor for class com.atilika.kuromoji.buffer.StringValueMapBuffer
 
stringValues - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
StringVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
 
StringVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.StringVertexFactory
 
StringVertexFactory(String) - Constructor for class org.deeplearning4j.graph.vertexfactory.StringVertexFactory
 
stringWithLabels(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.ContextLabelRetriever
Returns a stripped sentence with the indices of words with certain kinds of labels.
stripPunct(String) - Static method in class org.deeplearning4j.text.tokenization.tokenizer.preprocessor.StringCleaning
Removes ASCII punctuation marks, which are: 0123456789.:,"'()[]|/?!;
strokeWidth - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
strokeWidth(double) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
strokeWidth - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
style - Variable in class org.deeplearning4j.ui.api.Component
 
Style - Class in org.deeplearning4j.ui.api
Style defines things such as size of elements, an their margins.
Style(Style.Builder) - Constructor for class org.deeplearning4j.ui.api.Style
 
Style.Builder<T extends Style.Builder<T>> - Class in org.deeplearning4j.ui.api
 
StyleAccordion - Class in org.deeplearning4j.ui.components.decorator.style
 
StyleAccordion.Builder - Class in org.deeplearning4j.ui.components.decorator.style
 
StyleChart - Class in org.deeplearning4j.ui.components.chart.style
Style for charts
StyleChart.Builder - Class in org.deeplearning4j.ui.components.chart.style
 
StyleDiv - Class in org.deeplearning4j.ui.components.component.style
Style for Div components.
StyleDiv.Builder - Class in org.deeplearning4j.ui.components.component.style
 
StyleDiv.FloatValue - Enum in org.deeplearning4j.ui.components.component.style
Enumeration: possible values for float style option
StyleTable - Class in org.deeplearning4j.ui.components.table.style
Created by Alex on 3/04/2016.
StyleTable.Builder - Class in org.deeplearning4j.ui.components.table.style
 
StyleText - Class in org.deeplearning4j.ui.components.text.style
Style for text
StyleText.Builder - Class in org.deeplearning4j.ui.components.text.style
 
subDivide() - Method in class org.deeplearning4j.clustering.quadtree.QuadTree
Create four children which fully divide this cell into four quads of equal area
subDivide() - Method in class org.deeplearning4j.clustering.sptree.SpTree
Subdivide the node in to 4 children
subnetId(String) - Method in class org.deeplearning4j.aws.emr.SparkEMRClient.Builder
The id of the EC2 subnet to be used for this Spark EMR service see https://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_Subnets.html
subsampling(double) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
subsampling(double) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
Subsampling1DLayer - Class in org.deeplearning4j.nn.conf.layers
1D (temporal) subsampling layer.
Subsampling1DLayer - Class in org.deeplearning4j.nn.layers.convolution.subsampling
1D (temporal) subsampling layer.
Subsampling1DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
 
Subsampling1DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling1DLayer
 
Subsampling1DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Subsampling3DLayer - Class in org.deeplearning4j.nn.conf.layers
3D subsampling / pooling layer for convolutional neural networks
Subsampling3DLayer(Subsampling3DLayer.BaseSubsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Subsampling3DLayer
 
Subsampling3DLayer - Class in org.deeplearning4j.nn.layers.convolution.subsampling
Subsampling 3D layer, used for downsampling a 3D convolution
Subsampling3DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
Subsampling3DLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
Subsampling3DLayer.BaseSubsamplingBuilder<T extends Subsampling3DLayer.BaseSubsamplingBuilder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
Subsampling3DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Subsampling3DLayer.PoolingType - Enum in org.deeplearning4j.nn.conf.layers
 
SubsamplingHelper - Interface in org.deeplearning4j.nn.layers.convolution.subsampling
Helper for the subsampling layer.
SubsamplingLayer - Class in org.deeplearning4j.nn.conf.layers
Subsampling layer also referred to as pooling in convolution neural nets Supports the following pooling types: MAX, AVG, SUM, PNORM, NONE
SubsamplingLayer(SubsamplingLayer.BaseSubsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.SubsamplingLayer
 
SubsamplingLayer - Class in org.deeplearning4j.nn.layers.convolution.subsampling
Subsampling layer.
SubsamplingLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
SubsamplingLayer(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
SubsamplingLayer.BaseSubsamplingBuilder<T extends SubsamplingLayer.BaseSubsamplingBuilder<T>> - Class in org.deeplearning4j.nn.conf.layers
 
SubsamplingLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
SubsamplingLayer.PoolingType - Enum in org.deeplearning4j.nn.conf.layers
 
SubsetVertex - Class in org.deeplearning4j.nn.conf.graph
SubsetVertex is used to select a subset of the activations out of another GraphVertex.
For example, a subset of the activations out of a layer.
Note that this subset is specifying by means of an interval of the original activations.
SubsetVertex(int, int) - Constructor for class org.deeplearning4j.nn.conf.graph.SubsetVertex
 
SubsetVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
SubsetVertex is used to select a subset of the activations out of another GraphVertex.
For example, a subset of the activations out of a layer.
Note that this subset is specifying by means of an interval of the original activations.
SubsetVertex(ComputationGraph, String, int, int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
SubsetVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
sum(double[]) - Static method in class org.ansj.util.MatrixUtil
向量求和
sum(int[]) - Static method in class org.ansj.util.MatrixUtil
 
sum(double[][]) - Static method in class org.ansj.util.MatrixUtil
 
sum(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the sum of the given array.
Summary - Class in org.ansj.app.summary.pojo
摘要结构体封装
Summary(List<Keyword>, String) - Constructor for class org.ansj.app.summary.pojo.Summary
 
summary() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
String detailing the architecture of the computation graph.
summary(InputType...) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
String detailing the architecture of the computation graph.
summary() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
String detailing the architecture of the multilayernetwork.
summary(InputType) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
String detailing the architecture of the multilayernetwork.
SummaryComputer - Class in org.ansj.app.summary
自动摘要,同时返回关键词
SummaryComputer(String, String) - Constructor for class org.ansj.app.summary.SummaryComputer
 
SummaryComputer(int, String, String) - Constructor for class org.ansj.app.summary.SummaryComputer
 
SummaryComputer(int, boolean, String, String) - Constructor for class org.ansj.app.summary.SummaryComputer
 
SummaryComputer.Sentence - Class in org.ansj.app.summary
 
summaryStat() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
summaryStatCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
SummaryStatDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
summaryStatDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
SummaryStatEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
summaryStatId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
SummaryType - Enum in org.deeplearning4j.ui.stats.api
Summary statistic type, for use in StatsListener
SummaryType - Enum in org.deeplearning4j.ui.stats.sbe
 
summaryType() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
summaryType(SummaryType) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
summaryTypeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
summaryTypeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
sumOfMeanDifferences(double[], double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Used for calculating top part of simple regression for beta 1
sumOfMeanDifferencesOnePoint(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Used for calculating top part of simple regression for beta 1
sumOfProducts(double[]...) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the sum of products for the given numbers.
sumOfSquares(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the sum of squares for the given vector.
suppressAxisHorizontal(boolean) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
 
suppressAxisVertical(boolean) - Method in class org.deeplearning4j.ui.components.chart.Chart.Builder
 
surface - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
SURFACE - Static variable in class com.atilika.kuromoji.dict.DictionaryField
 
surface(String) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
SvhnDataFetcher - Class in org.deeplearning4j.datasets.fetchers
The Street View House Numbers (SVHN) Dataset is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and formatting.
SvhnDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.SvhnDataFetcher
 
swArch() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swArch(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swArchCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swArchCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swArchHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swArchHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swArchId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swArchId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swArchLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swArchMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swArchMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swEnvironmentInfo() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swEnvironmentInfoCount(int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
SwEnvironmentInfoDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
swEnvironmentInfoDecoderId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
SwEnvironmentInfoEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
swEnvironmentInfoId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swHostName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swHostName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swHostNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swHostNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swHostNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swHostNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swHostNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swHostNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swHostNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swHostNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swHostNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
switchMomentumIteration - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
switchMomentumIteration - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
switchMomentumIteration - Variable in class org.deeplearning4j.plot.Tsne
 
swJvmName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmSpecVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmSpecVersion(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmSpecVersionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmSpecVersionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmSpecVersionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmSpecVersionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmSpecVersionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmSpecVersionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmSpecVersionLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmSpecVersionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmSpecVersionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmUID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmUID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmUIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmUIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmUIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmUIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmUIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmUIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmUIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmUIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmUIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmVersion() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmVersion(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmVersionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmVersionCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmVersionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmVersionHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmVersionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmVersionId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swJvmVersionLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmVersionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swJvmVersionMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
SWN3 - Class in org.deeplearning4j.text.corpora.sentiwordnet
Based on SentiWordnet
SWN3() - Constructor for class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
SWN3(AnalysisEngine) - Constructor for class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
SWN3(String) - Constructor for class org.deeplearning4j.text.corpora.sentiwordnet.SWN3
 
swNd4jBackendClass() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jBackendClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jBackendClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jBackendClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jBackendClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jBackendClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jBackendClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jBackendClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jBackendClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jBackendClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jBackendClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jDataTypeName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jDataTypeName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jDataTypeNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jDataTypeNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jDataTypeNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jDataTypeNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jDataTypeNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jDataTypeNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swNd4jDataTypeNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jDataTypeNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swNd4jDataTypeNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swOsName() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swOsName(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swOsNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swOsNameCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swOsNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swOsNameHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swOsNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swOsNameId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
swOsNameLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swOsNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
swOsNameMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
symmetric - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
symmetric(boolean) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Parameters specifying, if cooccurrences list should be build into both directions from any current word.
symmetric - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
symmetric(boolean) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
symmetric - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
symmetric(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Parameters specifying, if cooccurrences list should be build into both directions from any current word.
SymmetricTrainer - Class in org.deeplearning4j.parallelism.trainer
This trainer implementation does parallel training via gradients broadcasts.
SymmetricTrainer(Model, String, int, WorkspaceMode, ParallelWrapper, boolean) - Constructor for class org.deeplearning4j.parallelism.trainer.SymmetricTrainer
 
SymmetricTrainerContext - Class in org.deeplearning4j.parallelism.factory
Creates DefaultTrainer instances for use with ParallelWrapper
SymmetricTrainerContext() - Constructor for class org.deeplearning4j.parallelism.factory.SymmetricTrainerContext
 
symmetrized(INDArray, INDArray, INDArray) - Method in class org.deeplearning4j.plot.BarnesHutTsne
Symmetrize the value matrix
syn0 - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
syn0 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
syn0 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
syn0 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
syn1 - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
syn1 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
syn1 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
syn1 - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
syn1Neg - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
synchronize(int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
synchronize(int, boolean) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
synchronize(int) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
SynchronizedSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Simple synchronized wrapper for SentenceIterator interface implementations
SynchronizedSentenceIterator(SentenceIterator) - Constructor for class org.deeplearning4j.text.sentenceiterator.SynchronizedSentenceIterator
 
SynchronizedSequenceIterator<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.iterators
Synchronized version of AbstractSeuqenceIterator, implemented on top of it.
SynchronizedSequenceIterator(SequenceIterator<T>) - Constructor for class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
Creates SynchronizedSequenceIterator on top of any SequenceIterator
synchronizeIterEpochCounts() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
synchronizeIterEpochCounts() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
SynonymsLibrary - Class in org.ansj.library
 
SynonymsLibrary() - Constructor for class org.ansj.library.SynonymsLibrary
 
SynonymsRecgnition - Class in org.ansj.recognition.impl
同义词功能
SynonymsRecgnition() - Constructor for class org.ansj.recognition.impl.SynonymsRecgnition
 
SynonymsRecgnition(String) - Constructor for class org.ansj.recognition.impl.SynonymsRecgnition
 
SynonymsRecgnition(SmartForest<List<String>>) - Constructor for class org.ansj.recognition.impl.SynonymsRecgnition
 
SystemClockTimeSource - Class in org.deeplearning4j.spark.time
A TimeSource implementation that is identical to calling System.currentTimeMillis()
SystemClockTimeSource() - Constructor for class org.deeplearning4j.spark.time.SystemClockTimeSource
 
SystemInfoFilePrintListener - Class in org.deeplearning4j.perf.listener
Using SystemInfo - it prints a json representation on each callback to the specified file.
SystemInfoFilePrintListener(boolean, boolean, boolean, boolean, boolean, File) - Constructor for class org.deeplearning4j.perf.listener.SystemInfoFilePrintListener
 
SystemInfoPrintListener - Class in org.deeplearning4j.perf.listener
Using SystemInfo - it logs a json representation of system info using slf4j.
SystemInfoPrintListener() - Constructor for class org.deeplearning4j.perf.listener.SystemInfoPrintListener
 
SystemInfoTest - Class in org.deeplearning4j.perf.listener
The Class SystemInfoTest.
SystemInfoTest() - Constructor for class org.deeplearning4j.perf.listener.SystemInfoTest
 
SystemPolling - Class in org.deeplearning4j.perf.listener
Poll a system for its local statistics with a specified time.
SystemPolling.Builder - Class in org.deeplearning4j.perf.listener
 
SystemPolling.NameProvider - Interface in org.deeplearning4j.perf.listener
The naming sequence provider.

T

table - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
table - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
table(INDArray) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
TABLE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
TABLE - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
tableId - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
TAG_NUM - Static variable in class org.ansj.app.crf.Config
 
TagContent - Class in org.ansj.app.summary
关键字标红,
TagContent(String, String) - Constructor for class org.ansj.app.summary.TagContent
 
tagContent(Summary) - Method in class org.ansj.app.summary.TagContent
 
tagContent(List<Keyword>, String) - Method in class org.ansj.app.summary.TagContent
 
tagger - Variable in class org.deeplearning4j.models.sequencevectors.iterators.AbstractSequenceIterator
 
tagRate(int, int) - Method in class org.ansj.app.crf.Model
tag转移率
tags() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
tagScore - Variable in class org.ansj.app.crf.pojo.Element
 
take() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
take() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
target - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
targetFile(String) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
Path to save cooccurrence map after construction.
targetFile(File) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
Path to save cooccurrence map after construction.
targetFile - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
TARGETMAP_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
targetMessageClass() - Method in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
taskByModel(Model) - Static method in class org.deeplearning4j.util.ModelSerializer
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
tbpttBackLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
tbpttBackLength(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
When doing truncated BPTT: how many steps of backward should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttBackLength - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.layers.RecurrentLayer
Truncated BPTT equivalent of Layer.backpropGradient().
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
tbpttBackpropGradient(INDArray, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.layers.recurrent.SimpleRnn
 
tBPTTBackwardLength(int) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
When doing truncated BPTT: how many steps of backward should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTBackwardLength(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
When doing truncated BPTT: how many steps of backward should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
This is the k2 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTForwardLength(int) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller)
Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTForwardLength(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller)
Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
tbpttFwdLength - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
tbpttFwdLength(int) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
When doing truncated BPTT: how many steps of forward pass should we do before doing (truncated) backprop?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
Typically tBPTTForwardLength parameter is same as the tBPTTBackwardLength parameter, but may be larger than it in some circumstances (but never smaller)
Ideally your training data time series length should be divisible by this This is the k1 parameter on pg23 of http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tbpttFwdLength - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
tBPTTLength(int) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
When doing truncated backpropagation through time (tBPTT): how many steps should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
See: http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBPTTLength(int) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
When doing truncated BPTT: how many steps should we do?
Only applicable when doing backpropType(BackpropType.TruncatedBPTT)
See: http://www.cs.utoronto.ca/~ilya/pubs/ilya_sutskever_phd_thesis.pdf
tBpttStateMap - Variable in class org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
State map for use specifically in truncated BPTT training.
TEMP_ROOT - Static variable in class com.atilika.kuromoji.util.KuromojiBinFilesFetcher
 
TEMP_ROOT - Static variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
template - Variable in class org.deeplearning4j.optimize.listeners.callbacks.ModelSavingCallback
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
TEMPLATE_ID - Static variable in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
templateId() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateId(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
templateIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateIdMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
templateIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateIdMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
templateIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
templateIdNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
TENSOR_FORMAT - Static variable in class org.deeplearning4j.nn.layers.BaseCudnnHelper
 
TensorArray() - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray
 
TensorArray(long) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray
 
TensorArray(BaseCudnnHelper.TensorArray) - Constructor for class org.deeplearning4j.nn.layers.BaseCudnnHelper.TensorArray
 
TensorFlowCnnToFeedForwardPreProcessor - Class in org.deeplearning4j.nn.modelimport.keras.preprocessors
Specialized CnnToFeedForwardInputPreProcessor for use with Convolutional layers imported from Keras using the TensorFlow backend.
TensorFlowCnnToFeedForwardPreProcessor(int, int, int) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
TensorFlowCnnToFeedForwardPreProcessor(int, int) - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
TensorFlowCnnToFeedForwardPreProcessor() - Constructor for class org.deeplearning4j.nn.modelimport.keras.preprocessors.TensorFlowCnnToFeedForwardPreProcessor
 
Term - Class in org.ansj.domain
 
Term(String, int, AnsjItem) - Constructor for class org.ansj.domain.Term
 
Term(String, int, TermNatures) - Constructor for class org.ansj.domain.Term
 
Term(String, int, String, int) - Constructor for class org.ansj.domain.Term
 
TermArrRecognition - Interface in org.ansj.recognition
词语识别接口,用来识别词语
terminate(int, double) - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
terminate(int, double) - Method in interface org.deeplearning4j.earlystopping.termination.EpochTerminationCondition
Should the early stopping training terminate at this epoch, based on the calculated score and the epoch number? Returns true if training should terminated, or false otherwise
terminate(double) - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
terminate(double) - Method in interface org.deeplearning4j.earlystopping.termination.IterationTerminationCondition
Should early stopping training terminate at this iteration, based on the score for the last iteration? return true if training should be terminated immediately, or false otherwise
terminate(int, double) - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
terminate(double) - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
terminate(double) - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
terminate(int, double) - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
terminate(double, double, Object[]) - Method in interface org.deeplearning4j.optimize.api.TerminationCondition
Whether to terminate based on the given metadata
terminate(double, double, Object[]) - Method in class org.deeplearning4j.optimize.terminations.EpsTermination
 
terminate(double, double, Object[]) - Method in class org.deeplearning4j.optimize.terminations.Norm2Termination
 
terminate(double, double, Object[]) - Method in class org.deeplearning4j.optimize.terminations.ZeroDirection
 
terminateCluster() - Method in class org.deeplearning4j.aws.emr.SparkEMRClient
Terminates a cluster
TERMINATING_CHARACTER - Static variable in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
terminationCondition - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
TerminationCondition - Interface in org.deeplearning4j.optimize.api
Created by agibsonccc on 12/24/14.
terminationConditions - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
TerminationConditions - Class in org.deeplearning4j.optimize.terminations
Created by agibsonccc on 12/24/14.
TerminationConditions() - Constructor for class org.deeplearning4j.optimize.terminations.TerminationConditions
 
terminationReason - Variable in class org.deeplearning4j.parallelism.EarlyStoppingParallelTrainer
 
terminator - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
terminator - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
terminator - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
termLink(Term, Term) - Static method in class org.ansj.util.TermUtil
 
TermNature - Class in org.ansj.domain
一个词里面会有一些词性
TermNature(String, int) - Constructor for class org.ansj.domain.TermNature
 
termNature - Variable in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
termNatures - Variable in class org.ansj.domain.AnsjItem
frequency : 词性词典,以及词性的相关权重
termNatures() - Method in class org.ansj.domain.Term
获得这个term的所有词性
TermNatures - Class in org.ansj.domain
每一个term都拥有一个词性集合
TermNatures(TermNature[], int) - Constructor for class org.ansj.domain.TermNatures
构造方法.一个词对应这种玩意
TermNatures(TermNature) - Constructor for class org.ansj.domain.TermNatures
 
TermNatures(TermNature, int, int) - Constructor for class org.ansj.domain.TermNatures
 
termNatures - Variable in class org.ansj.domain.TermNatures
关于这个term的所有词性
terms - Variable in class org.ansj.util.Graph
 
TermUtil - Class in org.ansj.util
term的操作类
TermUtil() - Constructor for class org.ansj.util.TermUtil
 
TermUtil.InsertTermType - Enum in org.ansj.util
 
TEST_FILE_LABELS_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
TEST_FILES_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
TestDataSetIterator - Class in org.deeplearning4j.datasets.test
Track number of times the dataset iterator has been called
TestDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.test.TestDataSetIterator
 
TextGenerationLSTM - Class in org.deeplearning4j.zoo.model
LSTM designed for text generation.
TextPipeline - Class in org.deeplearning4j.spark.text.functions
A spark based text pipeline with minimum word frequency and stop words
TextPipeline() - Constructor for class org.deeplearning4j.spark.text.functions.TextPipeline
 
TextPipeline(JavaRDD<String>, Broadcast<Map<String, Object>>) - Constructor for class org.deeplearning4j.spark.text.functions.TextPipeline
 
TextVectorizer - Interface in org.deeplearning4j.bagofwords.vectorizer
Vectorizes text
tf(int, int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Term frequency: 1+ log10(count)
tfidf(double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Return td * idf
TfidfVectorizer - Class in org.deeplearning4j.bagofwords.vectorizer
 
TfidfVectorizer() - Constructor for class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
 
TfidfVectorizer.Builder - Class in org.deeplearning4j.bagofwords.vectorizer
 
tfidfWord(String, long, long) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
 
theta(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
thread - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
thread - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
thread - Variable in class org.deeplearning4j.parallelism.AsyncIterator
 
threadId(int) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
threadId - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
threadId - Variable in class org.deeplearning4j.spark.stats.BaseEventStats
 
threads - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
ThreadUtils - Class in org.deeplearning4j.util
Utils for the basic use and flow of threads.
ThreadUtils() - Constructor for class org.deeplearning4j.util.ThreadUtils
 
ThreadUtils.UncheckedInterruptedException - Exception in org.deeplearning4j.util
Similar to InterruptedException in concept, but unchecked.
threshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
 
threshold - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
threshold - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
threshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
threshold - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
thresholdStep - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodingHandler
 
thresholdStep - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
thresholdStep - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
thresholdStep(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Step size for threshold decay Default value: 1e-5
thresholdStep - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
throwable - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
throwable - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
throwable - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
thrownException(Exception) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
thrownException - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
tick() - Method in class org.deeplearning4j.models.glove.count.RoundCount
 
time() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
time(long) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
time() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
time(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timeId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
TimeIterationListener - Class in org.deeplearning4j.optimize.listeners
Time Iteration Listener.
TimeIterationListener(int) - Constructor for class org.deeplearning4j.optimize.listeners.TimeIterationListener
Constructor
TimelineEntry(String, long, long) - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline.TimelineEntry
 
TimelineEntry(String, long, long, Color) - Constructor for class org.deeplearning4j.ui.components.chart.ChartTimeline.TimelineEntry
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timeMode - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
timeNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
timerBP - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
TimeRecognition - Class in org.ansj.recognition.impl
时间识别抽取
TimeRecognition() - Constructor for class org.ansj.recognition.impl.TimeRecognition
 
timerEE - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timerES - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timerFF - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
timerIteration - Variable in class org.deeplearning4j.optimize.listeners.SleepyTrainingListener
 
times(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the product of all numbers in the given array.
timeSeriesRandomOffset(boolean, long) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.Builder
For use with timeseries trained with tbptt In a given minbatch, shorter time series are padded and appropriately masked to be the same length as the longest time series.
TimeSeriesUtils - Class in org.deeplearning4j.util
Basic time series utils
TimeSource - Interface in org.deeplearning4j.spark.time
A time source is an abstraction of system time away from the local system clock.
TIMESOURCE_CLASSNAME_PROPERTY - Static variable in class org.deeplearning4j.spark.time.TimeSourceProvider
Name of the system property to set if the TimeSource type/class is to be customized
TimeSourceProvider - Class in org.deeplearning4j.spark.time
TimeSourceProvider: used to get a TimeSource via a static method.
Defaults to the Network Time Protocol implementation NTPTimeSource, but can be switched to other implementations via the TimeSourceProvider.TIMESOURCE_CLASSNAME_PROPERTY system property.
timeStamp() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStamp(long) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timeStampId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timeStampMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
timeStampNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
timeStampNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
TinyImageNetDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
Tiny ImageNet is a subset of the ImageNet database.
TinyImageNetDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
 
TinyImageNetDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
 
TinyImageNetDataSetIterator(int, int[], DataSetType, ImageTransform, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.TinyImageNetDataSetIterator
Get the Tiny ImageNet iterator with specified train/test set and custom transform.
TinyImageNetFetcher - Class in org.deeplearning4j.datasets.fetchers
Tiny ImageNet is a subset of the ImageNet database.
TinyImageNetFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.TinyImageNetFetcher
 
TinyYOLO - Class in org.deeplearning4j.zoo.model
Tiny YOLO Reference: https://arxiv.org/pdf/1612.08242.pdf
title(String) - Method in class org.deeplearning4j.ui.components.decorator.DecoratorAccordion.Builder
 
titleStyle - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
titleStyle(StyleText) - Method in class org.deeplearning4j.ui.components.chart.style.StyleChart.Builder
 
titleStyle - Variable in class org.deeplearning4j.ui.components.chart.style.StyleChart
 
to() - Method in class org.ansj.domain.Term
 
ToAnalysis - Class in org.ansj.splitWord.analysis
标准分词
ToAnalysis() - Constructor for class org.ansj.splitWord.analysis.ToAnalysis
 
ToAnalysis(Reader) - Constructor for class org.ansj.splitWord.analysis.ToAnalysis
 
toArray() - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
toArray(T[]) - Method in class org.deeplearning4j.optimize.solvers.accumulation.FancyBlockingQueue
 
toArray() - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
toArray(T[]) - Method in class org.deeplearning4j.parallelism.ConcurrentHashSet
Deprecated.
 
toArray() - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
toArray(T[]) - Method in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
This method isn't supported
toArray() - Method in class org.deeplearning4j.util.DiskBasedQueue
 
toArray(T[]) - Method in class org.deeplearning4j.util.DiskBasedQueue
 
toBitString(K) - Method in interface com.atilika.kuromoji.trie.PatriciaTrie.KeyMapper
Formats a key as a String
toBitString(String) - Method in class com.atilika.kuromoji.trie.PatriciaTrie.StringKeyMapper
 
toBytes(boolean, String) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toBytes(boolean, String[]) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toBytes(Map<String, String>) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toBytesSerializable(Serializable) - Static method in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
toClassifierPrediction(Vector) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
This is for the edge case where you have a single output layer and need to convert the output layer to an index
toComputationGraph() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Convert this MultiLayerNetwork to a ComputationGraph
toComputationGraph(MultiLayerNetwork) - Static method in class org.deeplearning4j.util.NetworkUtils
Convert a MultiLayerNetwork to a ComputationGraph
toCSV() - Method in class org.deeplearning4j.eval.ConfusionMatrix
Outputs the ConfusionMatrix as comma-separated values for easy import into spreadsheets
toDecimal(String) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This will convert the given binary string to a decimal based integer
toEncodedJson() - Method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
 
toFileString() - Method in class org.deeplearning4j.optimize.listeners.checkpoint.Checkpoint
 
toHTML() - Method in class org.deeplearning4j.eval.ConfusionMatrix
Outputs Confusion Matrix in an HTML table.
toInputMatrix(List<Window>, Word2Vec) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toInputMatrix() - Method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toJson() - Method in class org.deeplearning4j.eval.BaseEvaluation
 
toJson() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
toJson() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
toJson() - Method in interface org.deeplearning4j.eval.IEvaluation
 
toJson() - Method in class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
 
toJSON() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
toJSON() - Method in class org.deeplearning4j.models.sequencevectors.sequence.ShallowSequenceElement
 
toJSON() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
toJson() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
toJson() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
toJson() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
toJson() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
toJson() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Return this configuration as json
toJson() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
toJson() - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the TrainingMaster configuration as JSON
toJson() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
toJson() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
Token - Class in com.atilika.kuromoji.ipadic
IPADIC token produced by the IPADIC tokenizer with various morphological features
Token(int, String, ViterbiNode.Type, int, Dictionary) - Constructor for class com.atilika.kuromoji.ipadic.Token
 
TOKEN_INFO_DICTIONARY_FILENAME - Static variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
TOKEN_PREPROCESSOR - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
TokenBase - Class in com.atilika.kuromoji
Abstract token class with features shared by all tokens produced by all tokenizers
TokenBase(int, String, ViterbiNode.Type, int, Dictionary) - Constructor for class com.atilika.kuromoji.TokenBase
 
tokenFactory - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
tokenFactory - Variable in class com.atilika.kuromoji.TokenizerBase
 
TokenFactory<T extends TokenBase> - Interface in com.atilika.kuromoji.viterbi
 
tokenFactory - Variable in class org.deeplearning4j.models.glove.Glove.Builder
 
tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns SequenceElement for specified label.
tokenFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
tokenFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokenFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokenFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the token (again not necessarily in the vocab) for this word
tokenFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
tokenInfo - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
TokenInfoBuffer - Class in com.atilika.kuromoji.buffer
 
TokenInfoBuffer(InputStream) - Constructor for class com.atilika.kuromoji.buffer.TokenInfoBuffer
 
tokenInfoBuffer - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
TokenInfoBufferCompiler - Class in com.atilika.kuromoji.compile
 
TokenInfoBufferCompiler(OutputStream, List<BufferEntry>) - Constructor for class com.atilika.kuromoji.compile.TokenInfoBufferCompiler
 
TokenInfoDictionary - Class in com.atilika.kuromoji.dict
 
TokenInfoDictionary() - Constructor for class com.atilika.kuromoji.dict.TokenInfoDictionary
 
tokenInfoDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
TokenInfoDictionaryCompiler - Class in com.atilika.kuromoji.ipadic.compile
 
TokenInfoDictionaryCompiler(String) - Constructor for class com.atilika.kuromoji.ipadic.compile.TokenInfoDictionaryCompiler
 
TokenInfoDictionaryCompilerBase<T extends DictionaryEntryBase> - Class in com.atilika.kuromoji.compile
 
TokenInfoDictionaryCompilerBase(String) - Constructor for class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
tokenInfos - Variable in class com.atilika.kuromoji.buffer.BufferEntry
 
tokenize(String) - Method in class com.atilika.kuromoji.ipadic.Tokenizer
Tokenizes the provided text and returns a list of tokens with various feature information
tokenize(String) - Method in class com.atilika.kuromoji.TokenizerBase
 
tokenize(TokenizerFactory) - Method in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
tokenize() - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
tokenize(CAS, AnnotationFS) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
 
Tokenizer - Class in com.atilika.kuromoji.ipadic
A tokenizer based on the IPADIC dictionary
Tokenizer() - Constructor for class com.atilika.kuromoji.ipadic.Tokenizer
Construct a default tokenizer
TOKENIZER - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
Tokenizer - Interface in org.deeplearning4j.text.tokenization.tokenizer
A representation of a tokenizer.
Tokenizer.Builder - Class in com.atilika.kuromoji.ipadic
Builder class for creating a customized tokenizer instance
TokenizerAnnotator - Class in org.deeplearning4j.text.annotator
Overrides OpenNLP tokenizer to be thread safe
TokenizerAnnotator() - Constructor for class org.deeplearning4j.text.annotator.TokenizerAnnotator
 
TokenizerBase - Class in com.atilika.kuromoji
TokenizerBase main class
TokenizerBase() - Constructor for class com.atilika.kuromoji.TokenizerBase
 
TokenizerBase.Builder - Class in com.atilika.kuromoji
Abstract Builder shared by all tokenizers
TokenizerBase.Mode - Enum in com.atilika.kuromoji
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.Builder
Deprecated.
 
tokenizerFactory - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
The TokenizerFactory that should be used.
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Sets TokenizerFactory to be used for training
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines TokenizerFactory to be used for strings tokenization during training PLEASE NOTE: If external VocabCache is used, the same TokenizerFactory should be used to keep derived tokens equal.
tokenizerFactory - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
tokenizerFactory - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
tokenizerFactory - Variable in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines TokenizerFactory to be used for strings tokenization during training PLEASE NOTE: If external VocabCache is used, the same TokenizerFactory should be used to keep derived tokens equal.
tokenizerFactory - Variable in class org.deeplearning4j.models.word2vec.Word2Vec
 
tokenizerFactory - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
tokenizerFactory(TokenizerFactory) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies TokenizerFactory to be used for tokenization PLEASE NOTE: You can't use anonymous implementation here
tokenizerFactory(String) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies TokenizerFactory class to be used for tokenization
tokenizerFactory - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
TokenizerFactory - Interface in org.deeplearning4j.text.tokenization.tokenizerfactory
Generates a tokenizer for a given string
TokenizerFunction - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
TokenizerFunction(Broadcast<VectorsConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.TokenizerFunction
 
TokenizerFunction - Class in org.deeplearning4j.spark.text.functions
Tokenizer function
TokenizerFunction(String, String, int) - Constructor for class org.deeplearning4j.spark.text.functions.TokenizerFunction
 
TokenPreProcess - Interface in org.deeplearning4j.text.tokenization.tokenizer
Token preprocessing
tokenPreprocessor(String) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies TokenPreProcessor class to be used during tokenization
tokenPreprocessor - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.BaseTokenizerFunction
 
tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns collection of SequenceElements from this vocabulary.
tokens - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokens() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
tokens() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
All of the tokens in the cache, (not necessarily apart of the vocab)
toLabelMatrix(List<String>, List<Window>) - Static method in class org.deeplearning4j.text.movingwindow.WordConverter
 
toLabelMatrix(List<String>) - Method in class org.deeplearning4j.text.movingwindow.WordConverter
 
tolerance(double) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
tolerance - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
tolerance - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
tolerance(double) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
tolerance - Variable in class org.deeplearning4j.plot.Tsne
 
toMatrix(Matrix) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a matrix.
toMatrix(INDArray) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a matrix.
toMultiDataSet(DataSet) - Static method in class org.deeplearning4j.nn.graph.util.ComputationGraphUtil
Convert a DataSet to the equivalent MultiDataSet
toMultiDataSetIterator(DataSetIterator) - Static method in class org.deeplearning4j.nn.graph.util.ComputationGraphUtil
Convert a DataSetIterator to a MultiDataSetIterator, via an adaptor class
topicName(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
topN - Variable in class org.deeplearning4j.eval.Evaluation
 
topNAccuracy() - Method in class org.deeplearning4j.eval.Evaluation
Top N accuracy of the predictions so far.
topNCorrectCount - Variable in class org.deeplearning4j.eval.Evaluation
 
topNTotalCount - Variable in class org.deeplearning4j.eval.Evaluation
 
toPoints(INDArray) - Static method in class org.deeplearning4j.clustering.cluster.Point
 
toPoints(List<INDArray>) - Static method in class org.deeplearning4j.clustering.cluster.Point
 
topologicalOrder - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
topologicalOrder - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
Indexes of graph vertices, in topological order.
topologicalOrderStr - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
topologicalSortOrder() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
Calculate a topological sort order for the vertices in the graph.
toPoolingType() - Method in enum org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.PoolingType
 
toPoolingType() - Method in enum org.deeplearning4j.nn.conf.layers.SubsamplingLayer.PoolingType
 
toResponse(Throwable) - Method in class org.deeplearning4j.ui.exception.GenericExceptionMapper
 
toResponse(JsonProcessingException) - Method in class org.deeplearning4j.ui.exception.JsonExceptionMapper
 
toSentenceList(char[]) - Method in class org.ansj.app.summary.SummaryComputer
 
toStream(String) - Method in class org.ansj.dic.impl.File2Stream
 
toStream(String) - Method in class org.ansj.dic.impl.Jar2Stream
 
toStream(String) - Method in class org.ansj.dic.impl.Jdbc2Stream
 
toStream(String) - Method in class org.ansj.dic.impl.Url2Stream
 
toStream(String) - Method in class org.ansj.dic.PathToStream
 
toString() - Method in class com.atilika.kuromoji.buffer.FeatureInfoMap
 
toString() - Method in class com.atilika.kuromoji.TokenBase
 
toString() - Method in class com.atilika.kuromoji.trie.PatriciaTrie.PatriciaNode
toString() - Method in class org.ansj.app.crf.pojo.Element
 
toString() - Method in class org.ansj.app.keyword.Keyword
 
toString() - Method in class org.ansj.app.summary.SummaryComputer.Sentence
 
toString() - Method in class org.ansj.domain.Nature
 
toString() - Method in class org.ansj.domain.NewWord
 
toString() - Method in class org.ansj.domain.PersonNatureAttr
 
toString() - Method in class org.ansj.domain.Result
 
toString(String) - Method in class org.ansj.domain.Result
 
toString() - Method in class org.ansj.domain.Term
 
toString() - Method in class org.ansj.domain.TermNature
 
toString() - Method in class org.ansj.recognition.impl.NatureRecognition.NatureTerm
 
toString() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingResult
 
toString() - Method in class org.deeplearning4j.earlystopping.saver.InMemoryModelSaver
 
toString() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileGraphSaver
 
toString() - Method in class org.deeplearning4j.earlystopping.saver.LocalFileModelSaver
 
toString() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculator
 
toString() - Method in class org.deeplearning4j.earlystopping.scorecalc.DataSetLossCalculatorCG
Deprecated.
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.BestScoreEpochTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.InvalidScoreIterationTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.MaxEpochsTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.MaxScoreIterationTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.MaxTimeIterationTerminationCondition
 
toString() - Method in class org.deeplearning4j.earlystopping.termination.ScoreImprovementEpochTerminationCondition
 
toString() - Method in class org.deeplearning4j.eval.BaseEvaluation
 
toString() - Method in class org.deeplearning4j.eval.ConfusionMatrix
 
toString() - Method in class org.deeplearning4j.eval.meta.Prediction
 
toString() - Method in class org.deeplearning4j.graph.api.Edge
 
toString() - Method in class org.deeplearning4j.graph.api.Vertex
 
toString() - Method in class org.deeplearning4j.graph.graph.Graph
 
toString() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Edge
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Graph
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
 
toString() - Method in class org.deeplearning4j.models.sequencevectors.sequence.SequenceElement
 
toString() - Method in class org.deeplearning4j.models.word2vec.VocabWord
 
toString() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
toString() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.BinomialDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.ConstantDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.LogNormalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.NormalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.OrthogonalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.distribution.UniformDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.MergeVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.rnn.LastTimeStepVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.rnn.ReverseTimeSeriesVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.graph.StackVertex
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutional3D
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeConvolutionalFlat
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeFeedForward
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType.InputTypeRecurrent
 
toString() - Method in class org.deeplearning4j.nn.conf.inputs.InputType
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.util.MaskLayer
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.util.MaskZeroLayer
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.BernoulliReconstructionDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.ExponentialReconstructionDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.GaussianReconstructionDistribution
 
toString() - Method in class org.deeplearning4j.nn.conf.layers.variational.LossFunctionWrapper
 
toString() - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport
 
toString() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
toString() - Method in class org.deeplearning4j.nn.conf.memory.NetworkMemoryReport
 
toString() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.DefaultStepFunction
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.GradientStepFunction
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeDefaultStepFunction
 
toString() - Method in class org.deeplearning4j.nn.conf.stepfunctions.NegativeGradientStepFunction
 
toString() - Method in class org.deeplearning4j.nn.gradient.DefaultGradient
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.InputVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2NormalizeVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.L2Vertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.LayerVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.MergeVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PoolHelperVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.PreprocessorVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ReshapeVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.DuplicateToTimeSeriesVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.LastTimeStepVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.rnn.ReverseTimeSeriesVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ScaleVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.ShiftVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.StackVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.SubsetVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
toString() - Method in class org.deeplearning4j.nn.graph.vertex.VertexIndices
 
toString() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
toString() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
toString() - Method in class org.deeplearning4j.nn.layers.objdetect.DetectedObject
 
toString() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
 
toString() - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveChange
 
toString() - Method in class org.deeplearning4j.spark.models.sequencevectors.export.ExportContainer
 
toString() - Method in class org.deeplearning4j.text.movingwindow.Window
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartHistogram
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartLine
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartScatter
 
toString() - Method in class org.deeplearning4j.ui.components.chart.ChartStackedArea
 
toString() - Method in class org.deeplearning4j.ui.components.text.ComponentText
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
toString() - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
toString() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeId
 
toString() - Method in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage.SessionTypeWorkerId
 
toString() - Method in class org.deeplearning4j.ui.storage.FileStatsStorage
 
toString() - Method in class org.deeplearning4j.ui.storage.InMemoryStatsStorage
 
toString() - Method in class org.deeplearning4j.ui.storage.sqlite.J7FileStatsStorage
 
toString() - Method in class org.deeplearning4j.zoo.util.ClassPrediction
 
toStringWithOutNature() - Method in class org.ansj.domain.Result
返回没有词性的切分结果
toStringWithOutNature(String) - Method in class org.ansj.domain.Result
返回没有词性的切分结果
toSummary() - Method in class org.ansj.app.summary.SummaryComputer
计算摘要,利用关键词抽取计算
toSummary(String) - Method in class org.ansj.app.summary.SummaryComputer
根据用户查询串计算摘要
toSummary(List<Keyword>) - Method in class org.ansj.app.summary.SummaryComputer
计算摘要,传入用户自己算好的关键词
TOTAL_FEATURES - Static variable in class com.atilika.kuromoji.ipadic.compile.DictionaryEntry
 
totalCount(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the total number of values for the specified column, accounting for any masking
totalExamples() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
Total examples in the iterator
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
Total examples in the iterator
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
Total examples in the iterator
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
totalExamples() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
The total number of examples
totalExamples - Variable in class org.deeplearning4j.datasets.iterator.DataSetIteratorSplitter
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
totalExamples - Variable in class org.deeplearning4j.datasets.iterator.MultiDataSetIteratorSplitter
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
Total examples in the iterator
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
Total examples in the iterator
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
totalExamples() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.spark.iterator.PathSparkDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.spark.iterator.PortableDataStreamDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
totalExamples() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamples(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalExamplesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalExamplesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalExamplesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalExamplesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalFeatures - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
totalIterations - Variable in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
totalMinibatches() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatches(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalMinibatchesId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalMinibatchesMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalMinibatchesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalMinibatchesNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns total number of documents observed (if applicable)
totalNumberOfDocs() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
totalNumberOfDocs() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the total of number of documents encountered in the corpus
totalNumSentences() - Method in interface org.deeplearning4j.iterator.LabeledSentenceProvider
Return the total number of sentences, or -1 if not available
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.CollectionLabeledSentenceProvider
 
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.FileLabeledSentenceProvider
 
totalNumSentences() - Method in class org.deeplearning4j.iterator.provider.LabelAwareConverter
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.AbstractDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.AsyncShieldDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.BaseDatasetIterator
 
totalOutcomes() - Method in interface org.deeplearning4j.datasets.iterator.DataSetFetcher
Deprecated.
The number of labels for a dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.EarlyTerminationDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.ExistingDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.file.FileDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.FileSplitDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.impl.BenchmarkDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.impl.ListDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.IteratorDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.MultiDataSetWrapperIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.parallel.BaseParallelDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.ReconstructionDataSetIterator
The number of labels for the dataset
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.SamplingDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.datasets.test.TestDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
totalOutcomes() - Method in class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
 
totalOutcomes - Variable in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.spark.iterator.BaseDataSetIterator
 
totalOutcomes() - Method in class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
totalRuntimeMs() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMs(long) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalRuntimeMsId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalRuntimeMsMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalRuntimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
totalRuntimeMsNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns total number of elements observed
totalWordOccurrences() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
The total number of word occurrences
totalWordOccurrences() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
The total number of word occurrences
totalWords(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
totalWords() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Total number of words in the index
totalWordsBeyondLimit() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
toText() - Method in class org.ansj.domain.AnsjItem
 
toTree(TreebankNode, Pair<String, MultiDimensionalMap<Integer, Integer, String>>) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Converts a treebank node to a tree
toTree(TreebankNode) - Static method in class org.deeplearning4j.text.corpora.treeparser.TreeFactory
Converts a treebank node to a tree
touch() - Method in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
This method does initialization of given worker wrt Thread-Device Affinity
touch() - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
This method does initialization of given worker wrt Thread-Device Affinity
touch() - Method in interface org.deeplearning4j.optimize.solvers.accumulation.GradientsAccumulator
This method does initialization of given worker wrt Thread-Device Affinity
toValue() - Method in class org.ansj.domain.Term
 
toVector(Vector) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a vector
toVector(INDArray) - Static method in class org.deeplearning4j.spark.util.MLLibUtil
Convert an ndarray to a vector
toYaml() - Method in class org.deeplearning4j.eval.BaseEvaluation
 
toYaml() - Method in class org.deeplearning4j.eval.curves.BaseCurve
 
toYaml() - Method in class org.deeplearning4j.eval.curves.BaseHistogram
 
toYaml() - Method in interface org.deeplearning4j.eval.IEvaluation
 
toYaml() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
toYaml() - Method in class org.deeplearning4j.nn.conf.memory.MemoryReport
 
toYaml() - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
toYaml() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
Return this configuration as json
toYaml() - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
toYaml() - Method in class org.deeplearning4j.perf.listener.HardwareMetric
 
toYaml() - Method in interface org.deeplearning4j.spark.api.TrainingMaster
Get the TrainingMaster configuration as YAML
toYaml() - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
toYaml() - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
trackEpochs() - Method in class org.deeplearning4j.datasets.iterator.MultipleEpochsIterator
Deprecated.
 
train - Variable in class org.deeplearning4j.datasets.fetchers.MnistDataFetcher
 
train - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
train(JavaRDD<String>) - Method in class org.deeplearning4j.spark.models.embeddings.glove.Glove
Train on the corpus
train(JavaRDD<String>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
Training word2vec model on a given text corpus
trainAllAtOnce(List<Sequence<ShallowSequenceElement>>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines, if words representation should be build together with documents representations.
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainElementsRepresentation(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method is hardcoded to TRUE, since that's whole point of Word2Vec
trainElementsVectors - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
trainElementsVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
Trainer - Interface in org.deeplearning4j.parallelism.trainer
A Trainer is an individual worker used in ParallelWrapper for handling training in multi core situations.
TrainerContext - Interface in org.deeplearning4j.parallelism.factory
Creates Trainer instances for use with ParallelWrapper
trainerContext - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
trainerContext - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
trainerContextArgs - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
trainerContextArgs(Object...) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Transer context args are for calling a TrainerContext init method when ParallelWrapper starts training
trainerContextArgs - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
trainerFactory(TrainerContext) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
Specify a TrainerContext for the given ParallelWrapper instance.
TRAINING_FILE_LABELS_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
TRAINING_FILES_FILENAME_UNZIPPED - Static variable in class org.deeplearning4j.base.MnistFetcher
 
trainingArchive - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
trainingDriver - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
TrainingFunction<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
This is wrapper for SequenceVectors training over given Sequence
TrainingFunction(Broadcast<VocabCache<ShallowSequenceElement>>, Broadcast<VectorsConfiguration>, Broadcast<VoidConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
TrainingHook - Interface in org.deeplearning4j.spark.api
A hook for the workers when training.
trainingHookList - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster
 
trainingHooks - Variable in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
 
trainingHooks(Collection<TrainingHook>) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Adds training hooks to the master.
trainingHooks(TrainingHook...) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Adds training hooks to the master.
trainingHooks - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
trainingJson - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
trainingJson(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
trainingJsonInputStream(InputStream) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
TrainingListener - Interface in org.deeplearning4j.optimize.api
A listener interface for training DL4J models.
The methods here will be called at various points during training, and only during training.
Note that users can extend BaseTrainingListener and selectively override the required methods, instead of implementing TrainingListener directly and having a number of no-op methods.
TrainingListener - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
trainingListeners - Variable in class org.deeplearning4j.nn.layers.AbstractLayer
 
trainingListeners - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
trainingListeners - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
trainingListeners - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
TrainingMaster<R extends TrainingResult,W extends TrainingWorker<R>> - Interface in org.deeplearning4j.spark.api
A TrainingMaster controls how distributed training is executed in practice
In principle, a large number of different approches can be used in distributed training (synchronous vs.
trainingMaster - Variable in class org.deeplearning4j.spark.impl.SparkListenable
 
trainingMasterSpecificStats(SparkTrainingStats) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
trainingMasterUID - Variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
trainingMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
trainingMode(ParallelWrapper.TrainingMode) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method allows you to specify training mode for this instance of PW.
TrainingResult - Interface in org.deeplearning4j.spark.api
TrainingResult: a class used by TrainingMaster implementations Each TrainingMaster will have its own type of training result.
TrainingWorker<R extends TrainingResult> - Interface in org.deeplearning4j.spark.api
TrainingWorker is a small serializable class that can be passed (in serialized form) to each Spark executor for actually conducting training.
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
 
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.MultiLayerConfiguration.Builder
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.MultiLayerConfiguration
 
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
This method defines Workspace mode being used during training:
NONE: workspace won't be used
ENABLED: workspaces will be used for training (reduced memory and better performance)
trainingWorkspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
This method defines Workspace mode being used during training: NONE: workspace won't be used ENABLED: workspaces will be used for training (reduced memory and better performance)
trainingWorkspaceMode - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
TrainModule - Class in org.deeplearning4j.ui.module.train
Main DL4J Training UI
TrainModule() - Constructor for class org.deeplearning4j.ui.module.train.TrainModule
 
TrainModuleUtils - Class in org.deeplearning4j.ui.module.train
Utility methods for TrainModule
TrainModuleUtils() - Constructor for class org.deeplearning4j.ui.module.train.TrainModuleUtils
 
TrainModuleUtils.GraphInfo - Class in org.deeplearning4j.ui.module.train
 
trainSentence(List<VocabWord>, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.FirstIterationFunctionAdapter
 
trainSentence(Word2VecParam, List<VocabWord>, double, List<Triple<Integer, Integer, Integer>>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.SentenceBatch
Deprecated.
Train on a list of vocab words
trainSentence(List<VocabWord>, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
Train on a list of vocab words
trainSentence(List<VocabWord>, double) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
Train on a list of vocab words
trainSequence(Sequence<T>, AtomicLong, double) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Deprecated.
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method is hardcoded to TRUE, since that's whole point of ParagraphVectors
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainSequencesRepresentation(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method is hardcoded to FALSE, since that's whole point of Word2Vec
trainSequenceVectors - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
trainSequenceVectors - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
trainWordVectors(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines, if words representations should be build together with documents representations.
transferBackToVocabCache() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
transferBackToVocabCache(VocabCache) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
 
transferBackToVocabCache(VocabCache, boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
This method is required for compatibility purposes.
TransferLearning - Class in org.deeplearning4j.nn.transferlearning
The transfer learning API can be used to modify the architecture or the learning parameters of an existing multilayernetwork or computation graph.
TransferLearning() - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearning
 
TransferLearning.Builder - Class in org.deeplearning4j.nn.transferlearning
 
TransferLearning.GraphBuilder - Class in org.deeplearning4j.nn.transferlearning
 
TransferLearningHelper - Class in org.deeplearning4j.nn.transferlearning
This class is intended for use with the transfer learning API.
TransferLearningHelper(ComputationGraph, String...) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Will modify the given comp graph (in place!) to freeze vertices from input to the vertex specified.
TransferLearningHelper(ComputationGraph) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Expects a computation graph where some vertices are frozen
TransferLearningHelper(MultiLayerNetwork, int) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Will modify the given MLN (in place!) to freeze layers (hold params constant during training) specified and below
TransferLearningHelper(MultiLayerNetwork) - Constructor for class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Expects a MLN where some layers are frozen
transform(String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
 
transform(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
 
transform(String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Transforms the matrix
transform(List<String>) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Transforms the matrix
transform(String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
Transforms the matrix
transform(List<String>) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
 
transform(Tree) - Method in class org.deeplearning4j.text.corpora.treeparser.BinarizeTreeTransformer
 
transform(Tree) - Method in class org.deeplearning4j.text.corpora.treeparser.CollapseUnaries
 
transform(Tree) - Method in interface org.deeplearning4j.text.corpora.treeparser.transformer.TreeTransformer
Applies a applyTransformToOrigin to a tree
transform() - Method in class org.deeplearning4j.text.inputsanitation.InputHomogenization
Returns the normalized text passed in via constructor
transformProcess() - Method in interface org.deeplearning4j.spark.data.DataSetProvider
(Optional) The transform process for the dataset provider.
transformProcess() - Method in interface org.deeplearning4j.spark.data.MultiDataSetProvider
(Optional) The transform process for the dataset provider.
transformToSequence(String) - Method in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer
 
transformToSequence(V) - Method in interface org.deeplearning4j.models.sequencevectors.transformers.SequenceTransformer
This is generic method for transformation data from any format to Sequence of SequenceElement.
transport - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
transport - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
transport(Transport) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Optional method: Transport implementation to be used as TransportType.CUSTOM for VoidParameterAveraging method
transport - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
transpose() - Method in interface org.deeplearning4j.nn.api.Layer
Deprecated.
transpose() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
transpose() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
transpose() - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
transpose() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
transpose() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
transpose() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
transpose() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
transpose() - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
transpose() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
transpose() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
transpose() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
tree - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
Tree - Class in org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive
Tree for a recursive neural tensor network based on Socher et al's work.
Tree(Tree) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Clone constructor (all but the children)
Tree(Tree, List<String>) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
Tree(List<String>) - Constructor for class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
TreeFactory - Class in org.deeplearning4j.text.corpora.treeparser
Static movingwindow class handling the conversion of treebank nodes to Trees useful for recursive neural tensor networks
TreeIterator - Class in org.deeplearning4j.text.corpora.treeparser
Tree iterator: iterate over sentences returning trees with labels and everything already preset
TreeIterator(LabelAwareSentenceIterator, List<String>, TreeVectorizer, int) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeIterator
 
TreeIterator(LabelAwareSentenceIterator, List<String>, TreeVectorizer) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeIterator
 
TreeIterator(LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeIterator
 
TreeModelUtils<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.reader.impl
This is VPTree-based implementation for wordsNearest method, suited for multiple consequent calls.
TreeModelUtils() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
TreeParser - Class in org.deeplearning4j.text.corpora.treeparser
Tree parser for constituency parsing
TreeParser(AnalysisEngine, AnalysisEngine, CasPool) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeParser
 
TreeParser() - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeParser
 
TreeTransformer - Interface in org.deeplearning4j.text.corpora.treeparser.transformer
Tree transformer
TreeVectorizer - Class in org.deeplearning4j.text.corpora.treeparser
Tree vectorization pipeline.
TreeVectorizer(TreeParser) - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
Uses the given parser and model for vectorization of strings
TreeVectorizer() - Constructor for class org.deeplearning4j.text.corpora.treeparser.TreeVectorizer
Uses word vectors from the passed in word2vec model
Trie - Class in com.atilika.kuromoji.trie
Simple Trie used to build the DoubleArrayTrie
Trie() - Constructor for class com.atilika.kuromoji.trie.Trie
Constructor
Trie.Node - Class in com.atilika.kuromoji.trie
Trie Node
triggerEpochListeners(boolean, Model, int) - Method in class org.deeplearning4j.earlystopping.trainer.BaseEarlyStoppingTrainer
 
trueNegatives - Variable in class org.deeplearning4j.eval.Evaluation
 
trueNegatives() - Method in class org.deeplearning4j.eval.Evaluation
True negatives: correctly rejected
trueNegatives(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the true negatives count for the specified output
truePositives - Variable in class org.deeplearning4j.eval.Evaluation
 
truePositives() - Method in class org.deeplearning4j.eval.Evaluation
True positives: correctly rejected
truePositives(int) - Method in class org.deeplearning4j.eval.EvaluationBinary
Get the true positives count for the specified output
truncatedBPTT - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
TruncatedNormalDistribution - Class in org.deeplearning4j.nn.conf.distribution
A truncated normal distribution.
TruncatedNormalDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.TruncatedNormalDistribution
Create a truncated normal distribution with the given mean and std
truncateVocabulary() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
The same as truncateVocabulary(this.minWordFrequency)
truncateVocabulary(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
All words with frequency below threshold wii be removed
tryCompare(DataSet, DataSet) - Method in class org.deeplearning4j.spark.ordering.DataSetOrdering
 
tryOpenBrowser(String, Logger) - Static method in class org.deeplearning4j.ui.UiUtils
 
Tsne - Class in org.deeplearning4j.plot
dl4j port of original t-sne algorithm described/implemented by van der Maaten and Hinton
Tsne(int, double, double, double, double, double, int, boolean, boolean, int, double, double, boolean, double) - Constructor for class org.deeplearning4j.plot.Tsne
 
Tsne.Builder - Class in org.deeplearning4j.plot
 
TsneModule - Class in org.deeplearning4j.ui.module.tsne
Created by Alex on 25/10/2016.
TsneModule() - Constructor for class org.deeplearning4j.ui.module.tsne.TsneModule
 
type - Variable in class org.deeplearning4j.clustering.strategy.BaseClusteringStrategy
 
type - Variable in class org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator
 
type() - Method in interface org.deeplearning4j.nn.api.Layer
Returns the layer type
type() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
type() - Method in class org.deeplearning4j.nn.layers.ActivationLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.CnnLossLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.ConvolutionLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping1DLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping2DLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.Cropping3DLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
type() - Method in class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
type() - Method in class org.deeplearning4j.nn.layers.DropoutLayer
 
type() - Method in class org.deeplearning4j.nn.layers.feedforward.embedding.EmbeddingSequenceLayer
 
type() - Method in class org.deeplearning4j.nn.layers.LossLayer
 
type() - Method in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
type() - Method in class org.deeplearning4j.nn.layers.normalization.LocalResponseNormalization
 
type() - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNOutputLayer
 
type() - Method in class org.deeplearning4j.nn.layers.pooling.GlobalPoolingLayer
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesBidirectionalLSTM
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.GravesLSTM
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.LastTimeStepLayer
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.LSTM
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.MaskZeroLayer
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnLossLayer
 
type() - Method in class org.deeplearning4j.nn.layers.recurrent.RnnOutputLayer
 
type() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
type() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
type() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
type - Variable in class org.deeplearning4j.parallelism.MagicQueue
Deprecated.
 
TYPE_ID - Static variable in class org.deeplearning4j.ui.stats.BaseStatsListener
 
typeID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
typeID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
typeID() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
typeID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
typeID() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
typeID(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
typeIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
typeIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
typeIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
typeIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
typeIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
typeIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
typeIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
typeIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
typeIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
typeIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
typeIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
typeIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
typeIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
typeIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
typeIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
typeIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
typeIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
typeIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
typeIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
typeIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
typeIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
typeIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
typeIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
typeIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
typeIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
typeIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
typeIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
typeSystemInit(TypeSystem) - Method in class org.deeplearning4j.text.annotator.PoStagger
Initializes the type system.
typeSystemInit(TypeSystem) - Method in class org.deeplearning4j.text.tokenization.tokenizer.ConcurrentTokenizer
Initializes the type system.

U

UciSequenceDataFetcher - Class in org.deeplearning4j.datasets.fetchers
Fetcher for UCI synthetic control chart time series dataset.
UciSequenceDataFetcher() - Constructor for class org.deeplearning4j.datasets.fetchers.UciSequenceDataFetcher
 
UciSequenceDataSetIterator - Class in org.deeplearning4j.datasets.iterator.impl
UCI synthetic control chart time series dataset.
UciSequenceDataSetIterator(int) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
UciSequenceDataSetIterator(int, DataSetType) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
UciSequenceDataSetIterator(int, DataSetType, long) - Constructor for class org.deeplearning4j.datasets.iterator.impl.UciSequenceDataSetIterator
 
UI_CUSTOM_MODULE_PROPERTY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
System property to enable classpath scanning for custom UI modules.
UI_SERVER_PORT_PROPERTY - Static variable in class org.deeplearning4j.ui.play.PlayUIServer
System property for setting the UI port.
UiConnectionInfo - Class in org.deeplearning4j.ui
POJO describing the location and credentials for DL4j UiServer instance
UiConnectionInfo() - Constructor for class org.deeplearning4j.ui.UiConnectionInfo
 
UiConnectionInfo.Builder - Class in org.deeplearning4j.ui
 
UIDProvider - Class in org.deeplearning4j.util
Static methods for obtaining unique identifiers for both the machine (hardware) and the JVM.
UimaResource - Class in org.deeplearning4j.text.uima
Resource holder for uima
UimaResource(AnalysisEngine) - Constructor for class org.deeplearning4j.text.uima.UimaResource
 
UimaResource(AnalysisEngine, CasPool) - Constructor for class org.deeplearning4j.text.uima.UimaResource
 
UimaResultSetIterator - Class in org.deeplearning4j.text.sentenceiterator
Iterates over and returns sentences based on the passed in analysis engine Database version of UimaSentenceIterator based off Adam Gibson's UimaSentenceIterator but extends BasicResultSetIterator Please note: for reset functionality, the underlying JDBC ResultSet must not be of TYPE_FORWARD_ONLY To achieve this using postgres you can make your query using: connection.prepareStatement(sql,ResultSet.TYPE_SCROLL_INSENSITIVE,ResultSet.CONCUR_READ_ONLY);
UimaResultSetIterator(ResultSet, String) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
Constructor which builds a new UimaResource object
UimaResultSetIterator(ResultSet, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaResultSetIterator
Constructor which takes an existing UimaResource object
UimaSentenceIterator - Class in org.deeplearning4j.text.sentenceiterator
Iterates over and returns sentences based on the passed in analysis engine
UimaSentenceIterator(SentencePreProcessor, String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
UimaSentenceIterator(SentencePreProcessor, CollectionReader, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
UimaSentenceIterator(String, UimaResource) - Constructor for class org.deeplearning4j.text.sentenceiterator.UimaSentenceIterator
 
UimaTokenizer - Class in org.deeplearning4j.text.tokenization.tokenizer
Tokenizer based on the passed in analysis engine
UimaTokenizer(String, UimaResource, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizer.UimaTokenizer
 
UimaTokenizerFactory - Class in org.deeplearning4j.text.tokenization.tokenizerfactory
Uses a uima AnalysisEngine to tokenize text.
UimaTokenizerFactory() - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(UimaResource) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(AnalysisEngine) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(UimaResource, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UimaTokenizerFactory(AnalysisEngine, boolean) - Constructor for class org.deeplearning4j.text.tokenization.tokenizerfactory.UimaTokenizerFactory
 
UIModule - Interface in org.deeplearning4j.ui.api
UIModule encapsulates the user interface functionality for a page or group of pages that rely on data coming from a StatsStorage instance.
When a StatsStorage object is attached to a UIServer, the UI server will start receiving StatsStorageEvent instances; some of these (only the appropriate ones based on the specified TypeIDs from the UIModule.getCallbackTypeIDs() method) will be routed to the UIModule, via UIModule.reportStorageEvents(Collection).
UIServer - Class in org.deeplearning4j.ui.api
Interface for user interface server
UIServer() - Constructor for class org.deeplearning4j.ui.api.UIServer
 
UiUtils - Class in org.deeplearning4j.ui
 
UncheckedInterruptedException() - Constructor for exception org.deeplearning4j.util.ThreadUtils.UncheckedInterruptedException
 
uncheckedSleep(long) - Static method in class org.deeplearning4j.util.ThreadUtils
 
underline(boolean) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
If true: text should be underlined (default: not)
underlying - Variable in class org.deeplearning4j.nn.conf.layers.wrapper.BaseWrapperLayer
 
underlying - Variable in class org.deeplearning4j.nn.graph.vertex.BaseWrapperVertex
 
underlying - Variable in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
underlyingHas - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.iterables.ParallelTransformerIterator
 
underlyingIterable - Variable in class org.deeplearning4j.text.documentiterator.SimpleLabelAwareIterator
 
underlyingIterator - Variable in class org.deeplearning4j.models.sequencevectors.iterators.SynchronizedSequenceIterator
 
unescape(String) - Static method in class com.atilika.kuromoji.util.DictionaryEntryLineParser
Unescape input for CSV
UNet - Class in org.deeplearning4j.zoo.model
U-Net An implementation of U-Net, a deep learning network for image segmentation in Deeplearning4j.
unfrozenGraph() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Returns the unfrozen subset of the original computation graph as a computation graph Note that with each call to featurizedFit the parameters to the original computation graph are also updated
unfrozenMLN() - Method in class org.deeplearning4j.nn.transferlearning.TransferLearningHelper
Returns the unfrozen layers of the MultiLayerNetwork as a multilayernetwork Note that with each call to featurizedFit the parameters to the original MLN are also updated
uniform(Random, double, double) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Generate a uniform random number from the given rng
UniformDistribution - Class in org.deeplearning4j.nn.conf.distribution
A uniform distribution.
UniformDistribution(double, double) - Constructor for class org.deeplearning4j.nn.conf.distribution.UniformDistribution
Create a uniform real distribution using the given lower and upper bounds.
union(Set<? extends T>, Set<? extends T>) - Static method in class org.deeplearning4j.clustering.util.SetUtils
 
UnitNormConstraint - Class in org.deeplearning4j.nn.conf.constraint
Constrain the L2 norm of the incoming weights for each unit to be 1.0
UnitNormConstraint(int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint
Apply to weights but not biases by default
UnitNormConstraint(Set<String>, int...) - Constructor for class org.deeplearning4j.nn.conf.constraint.UnitNormConstraint
 
units(int) - Method in class org.deeplearning4j.nn.conf.layers.FeedForwardLayer.Builder
Set the number of units / layer size for this layer.
This is equivalent to FeedForwardLayer.Builder.nOut(int)
UnitVarianceProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
Unit variance operation
UnitVarianceProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.UnitVarianceProcessor
 
UNK - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
UNKNOWN_DICTIONARY_FILENAME - Static variable in class com.atilika.kuromoji.dict.UnknownDictionary
 
UnknownDictionary - Class in com.atilika.kuromoji.dict
 
UnknownDictionary(CharacterDefinitions, int[][], int[][], String[][], int) - Constructor for class com.atilika.kuromoji.dict.UnknownDictionary
 
UnknownDictionary(CharacterDefinitions, int[][], int[][], String[][]) - Constructor for class com.atilika.kuromoji.dict.UnknownDictionary
 
unknownDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
UnknownDictionaryCompiler - Class in com.atilika.kuromoji.compile
 
UnknownDictionaryCompiler(Map<String, Integer>, OutputStream) - Constructor for class com.atilika.kuromoji.compile.UnknownDictionaryCompiler
 
UnknownDictionaryEntryParser - Class in com.atilika.kuromoji.util
 
UnknownDictionaryEntryParser() - Constructor for class com.atilika.kuromoji.util.UnknownDictionaryEntryParser
 
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement(V) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
unknownElement(T) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownElement - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
unknownElement(VocabWord) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows you to specify SequenceElement that will be used as UNK element, if UNK is used
unknownWordHandling(CnnSentenceDataSetIterator.UnknownWordHandling) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Specify how unknown words (those that don't have a word vector in the provided WordVectors instance) should be handled.
unlock() - Method in interface org.deeplearning4j.text.invertedindex.InvertedIndex
Unlock the index
unroll - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasLstm
 
unroll - Variable in class org.deeplearning4j.nn.modelimport.keras.layers.recurrent.KerasSimpleRnn
 
UnstackVertex - Class in org.deeplearning4j.nn.conf.graph
UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.
UnstackVertex(int, int) - Constructor for class org.deeplearning4j.nn.conf.graph.UnstackVertex
 
UnstackVertex - Class in org.deeplearning4j.nn.graph.vertex.impl
UnstackVertex allows for unstacking of inputs so that they may be forwarded through a network.
UnstackVertex(ComputationGraph, String, int, int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
UnstackVertex(ComputationGraph, String, int, VertexIndices[], VertexIndices[], int, int) - Constructor for class org.deeplearning4j.nn.graph.vertex.impl.UnstackVertex
 
UnsupportedKerasConfigurationException - Exception in org.deeplearning4j.nn.modelimport.keras.exceptions
Indicates that user is attempting to import a Keras model configuration that is not currently supported.
UnsupportedKerasConfigurationException(String) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException
 
UnsupportedKerasConfigurationException(String, Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException
 
UnsupportedKerasConfigurationException(Throwable) - Constructor for exception org.deeplearning4j.nn.modelimport.keras.exceptions.UnsupportedKerasConfigurationException
 
update(Nature, int) - Method in class org.ansj.domain.NewWord
更新发现权重,并且更新词性
update() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
update(Environment, Event) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
update(Gradient) - Method in interface org.deeplearning4j.nn.api.Model
Update layer weights and biases with gradient change
update(INDArray, String) - Method in interface org.deeplearning4j.nn.api.Model
Perform one update applying the gradient
update(Layer, Gradient, int, int, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.nn.api.Updater
Updater: updates the model
update(INDArray, String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
update(Gradient) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.BaseLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToBatch
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.SpaceToDepth
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.Subsampling3DLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.subsampling.SubsamplingLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.FrozenLayer
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.FrozenLayerWithBackprop
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
update(Gradient) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
update(INDArray, String) - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
update(MultiLayerNetwork) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Assigns the parameters of this model to the ones specified by this network.
update(INDArray, String) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
update(Gradient) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
update(Task) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
update(Layer, Gradient, int, int, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
update(Gradient, int, int, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
Update the gradient for the model.
update(int, int) - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
Update the gradient for this block
update(Observable, Object) - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver
 
update(Gradient) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
update(INDArray, String) - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
update(Observable, Object) - Method in class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
 
updateAndReturnAccumulatorVal(JavaRDD<List<String>>) - Method in class org.deeplearning4j.spark.text.functions.TextPipeline
 
updateBuilder(ComputationGraphConfiguration.GraphBuilder, String, int, int[][], String) - Method in interface org.deeplearning4j.nn.conf.module.GraphBuilderModule
Add a layer to the collection of layers being generated by this module.
UpdateDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
UpdateDecoder.DataSetMetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.GcStatsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.LayerNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.MemoryUseDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.ParamNamesDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerformanceDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
UpdateEncoder.DataSetMetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.GcStatsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.LayerNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.MemoryUseEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.ParamNamesEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerformanceEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
updateExternalGradient(int, int, INDArray, INDArray) - Method in class org.deeplearning4j.nn.updater.UpdaterBlock
 
UpdateFieldsPresentDecoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateFieldsPresentDecoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
UpdateFieldsPresentEncoder - Class in org.deeplearning4j.ui.stats.sbe
 
UpdateFieldsPresentEncoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
updateGradientAccordingToParams(Gradient, Model, int, LayerWorkspaceMgr) - Method in interface org.deeplearning4j.optimize.api.ConvexOptimizer
Update the gradient according to the configuration such as adagrad, momentum, and sparsity
updateGradientAccordingToParams(Gradient, Model, int, LayerWorkspaceMgr) - Method in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
updateHuffmanCodes() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
build binary tree ordered by counter.
updateId - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
updateModel(Model) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer
 
updateModel(Model) - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
updateModel(Model) - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Update the current Model for the worker
updateNature(String) - Method in class org.ansj.app.crf.pojo.Element
 
updateOffe(int) - Method in class org.ansj.domain.Term
更新偏移量
Updater - Interface in org.deeplearning4j.nn.api
Update the model
updater(Updater) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Deprecated.
updater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Gradient updater.
updater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
 
updater(IUpdater) - Method in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer.Builder
Gradient updater.
updater - Variable in class org.deeplearning4j.nn.conf.layers.samediff.AbstractSameDiffLayer
 
updater(Updater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
updater(IUpdater) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Gradient updater configuration.
Updater - Enum in org.deeplearning4j.nn.conf
All the possible different updaters
updater(IUpdater) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Gradient updater configuration.
updater(Updater) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
updater - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
updater - Variable in class org.deeplearning4j.optimize.solvers.BaseOptimizer
 
UPDATER_BIN - Static variable in class org.deeplearning4j.util.ModelSerializer
 
UpdaterBlock - Class in org.deeplearning4j.nn.updater
UpdaterBlock: used in BaseMultiLayerUpdater, this class implements updating (i.e., Adam, RMSProp, Momentum, etc) across multiple contiguous layers/parameters, as described in the BaseMultiLayerUpdater javadoc.
UpdaterBlock(int, int, int, int, List<UpdaterBlock.ParamState>) - Constructor for class org.deeplearning4j.nn.updater.UpdaterBlock
 
UpdaterBlock.ParamState - Class in org.deeplearning4j.nn.updater
 
updaterBlocks - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
updaterConfigurationsEquals(Layer, String, Layer, String) - Static method in class org.deeplearning4j.nn.updater.UpdaterUtils
 
UpdaterCreator - Class in org.deeplearning4j.nn.updater
 
updateRnnStateWithTBPTTState() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
updaterState() - Method in interface org.deeplearning4j.nn.api.NeuralNetwork
This method returns updater state (if applicable), null otherwise
updaterState() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
updaterState() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
updaterStateViewArray - Variable in class org.deeplearning4j.nn.updater.BaseMultiLayerUpdater
 
UpdaterUtils - Class in org.deeplearning4j.nn.updater
Created by Alex on 14/04/2017.
UpdaterUtils() - Constructor for class org.deeplearning4j.nn.updater.UpdaterUtils
 
updates - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
updates - Variable in class org.deeplearning4j.spark.parameterserver.networking.messages.SilentUpdatesMessage
 
updates - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
updates - Variable in class org.deeplearning4j.ui.storage.BaseCollectionStatsStorage
 
updatesBoundary(double) - Method in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator.Builder
This method enables optional limit for max number of updates per message Default value: 1.0 (no limit)
updatesBuffer - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
updateScore(String, double) - Method in class org.ansj.app.summary.SummaryComputer.Sentence
 
updatesCount - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
updatesCounter - Variable in class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
 
updatesLock - Variable in class org.deeplearning4j.optimize.solvers.accumulation.BasicGradientsAccumulator
 
updatesThreshold(double) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
Threshold for updates encoding Default value: 1e-3
updateTag(int) - Method in class org.ansj.app.crf.pojo.Element
 
updateTermNaturesAndNature(TermNatures) - Method in class org.ansj.domain.Term
 
updateTypeClass() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClass(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateTypeClassLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
updateTypeClassMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
updateWeight(int) - Method in class org.ansj.app.keyword.Keyword
 
UpdateWordFreqAccumulatorFunction - Class in org.deeplearning4j.spark.text.functions
 
UpdateWordFreqAccumulatorFunction(Broadcast<List<String>>, Accumulator<Counter<String>>) - Constructor for class org.deeplearning4j.spark.text.functions.UpdateWordFreqAccumulatorFunction
 
updateWordsOccurencies() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
updateWordsOccurencies() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
updateWordsOccurencies() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Updates counters
upload(File, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
Upload the file to the bucket.
upload(File, String, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
uploadAndRun(String, String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
 
uploadFileList(String, File, List<File>, String) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
uploadFolder(String, String, File, boolean) - Method in class org.deeplearning4j.aws.s3.uploader.S3Uploader
 
uploadForDeployment(String, String) - Method in class org.deeplearning4j.aws.ec2.provision.HostProvisioner
Creates the directory for the file if necessary and uploads the file
Upsampling1D - Class in org.deeplearning4j.nn.conf.layers
Upsampling 1D layer
Upsampling1D(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling1D
 
Upsampling1D - Class in org.deeplearning4j.nn.layers.convolution.upsampling
1D Upsampling layer.
Upsampling1D(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
Upsampling1D(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling1D
 
Upsampling1D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Upsampling2D - Class in org.deeplearning4j.nn.conf.layers
Upsampling 2D layer
Upsampling2D(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling2D
 
Upsampling2D - Class in org.deeplearning4j.nn.layers.convolution.upsampling
2D Upsampling layer.
Upsampling2D(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
Upsampling2D(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling2D
 
Upsampling2D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
Upsampling3D - Class in org.deeplearning4j.nn.conf.layers
Upsampling 3D layer
Upsampling3D(BaseUpsamplingLayer.UpsamplingBuilder) - Constructor for class org.deeplearning4j.nn.conf.layers.Upsampling3D
 
Upsampling3D - Class in org.deeplearning4j.nn.layers.convolution.upsampling
3D Upsampling layer.
Upsampling3D(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
Upsampling3D(NeuralNetConfiguration, INDArray) - Constructor for class org.deeplearning4j.nn.layers.convolution.upsampling.Upsampling3D
 
Upsampling3D.Builder - Class in org.deeplearning4j.nn.conf.layers
 
UpsamplingBuilder(int) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer.UpsamplingBuilder
A single size integer is used for upsampling in all spatial dimensions
UpsamplingBuilder(int[]) - Constructor for class org.deeplearning4j.nn.conf.layers.BaseUpsamplingLayer.UpsamplingBuilder
An int array to specify upsampling dimensions, the length of which has to equal to the number of spatial dimensions (e.g.
uri() - Method in class org.deeplearning4j.streaming.kafka.KafkaUriBuilder
 
Url2Stream - Class in org.ansj.dic.impl
url://http://maven.nlpcn.org/down/library/default.dic
Url2Stream() - Constructor for class org.ansj.dic.impl.Url2Stream
 
useAbsolutePathAsLabel(boolean) - Method in class org.deeplearning4j.text.documentiterator.FilenamesLabelAwareIterator.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
useAdaGrad - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines whether adaptive gradients should be used or not
useAdaGrad - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Deprecated.
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines whether adaptive gradients should be used or not
useAdaGrad(boolean) - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.Builder
Defines, if adaptive gradients should be created during vocabulary mastering
useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.plot.Tsne
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
useAdaGrad - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
This method specifies, if adaptive gradients should be used during model training
useAdaGrad(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
useAdeGrad - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
useCurrent - Variable in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator
 
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method has no effect for GloVe
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows you to use pre-built WordVectors model (Word2Vec or GloVe) for ParagraphVectors.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows you to use pre-built WordVectors model (SkipGram or GloVe) for DBOW sequence learning.
useExistingWordVectors(WordVectors) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method has no effect for Word2Vec
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method enables/disables Hierarchic softmax Default value: enabled
useHierarchicSoftmax - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Enable/disable hierarchic softmax
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method enables/disables Hierarchic softmax Default value: enabled
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
useHierarchicSoftmax(boolean) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
useHS - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
useMDS(boolean) - Method in class org.deeplearning4j.parallelism.parameterserver.ParameterServerTrainer.ParameterServerTrainerBuilder
 
useMDS - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
useMDS() - Method in class org.deeplearning4j.zoo.ModelMetaData
Deprecated.
If number of inputs are greater than 1, this states that the implementation should use MultiDataSet.
useNormalizedWordVectors(boolean) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Whether normalized word vectors should be used.
usePca - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
usePca - Variable in class org.deeplearning4j.plot.Tsne.Builder
 
usePca(boolean) - Method in class org.deeplearning4j.plot.Tsne.Builder
 
usePca - Variable in class org.deeplearning4j.plot.Tsne
 
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
 
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
If set to true, initial weights for elements/sequences will be derived from elements themself.
usePreciseWeightInit(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
 
USER_DEFINE - Static variable in class org.ansj.domain.TermNature
 
UserDefineRecognition - Class in org.ansj.recognition.arrimpl
用户自定义词典.又称补充词典
UserDefineRecognition(TermUtil.InsertTermType, Forest...) - Constructor for class org.ansj.recognition.arrimpl.UserDefineRecognition
 
UserDicNatureRecognition - Class in org.ansj.recognition.impl
用户自定义词典的词性优先
UserDicNatureRecognition() - Constructor for class org.ansj.recognition.impl.UserDicNatureRecognition
 
UserDicNatureRecognition(Forest...) - Constructor for class org.ansj.recognition.impl.UserDicNatureRecognition
传入多本词典,后面的会覆盖前面的结果
UserDictionary - Class in com.atilika.kuromoji.dict
 
UserDictionary(InputStream, int, int, int) - Constructor for class com.atilika.kuromoji.dict.UserDictionary
 
userDictionary - Variable in class com.atilika.kuromoji.TokenizerBase.Builder
 
userDictionary(InputStream) - Method in class com.atilika.kuromoji.TokenizerBase.Builder
Sets an optional user dictionary as an input stream
userDictionary(String) - Method in class com.atilika.kuromoji.TokenizerBase.Builder
Sets an optional user dictionary filename
UserDictionary.UserDictionaryMatch - Class in com.atilika.kuromoji.dict
 
UserDictionaryMatch(int, int, int) - Constructor for class com.atilika.kuromoji.dict.UserDictionary.UserDictionaryMatch
 
useSpecialPreProcessCifar - Variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
usesRegularization() - Method in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
Indicates whether layer uses regularization.
useTruncatedBPTT - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasModel
 
useUnk - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
useUnknown - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
useUnknown(boolean) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useUnknown(boolean) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
useUnknown(boolean) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows you to specify, if UNK word should be used internally
useUnknown(boolean) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies, if UNK word should be used instead of words that are absent in vocab
useVariableWindow(int...) - Method in class org.deeplearning4j.models.glove.Glove.Builder
This method has no effect for ParagraphVectors
useVariableWindow(int...) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
useVariableWindow(int...) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method has no effect for ParagraphVectors
useVariableWindow(int...) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
This method allows to use variable window size.
useVariableWindow(int...) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows to use variable window size.
useWorkspace - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
useWorkspaces - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
useWriteAheadLog(boolean) - Method in class org.deeplearning4j.ui.storage.mapdb.MapDBStatsStorage.Builder
 
UTF8 - Static variable in class org.deeplearning4j.ui.stats.impl.SbeUtil
 
Util - Class in org.deeplearning4j.text.movingwindow
 
Utils - Class in org.deeplearning4j.ui.api
 
uuid - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
uuid - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 

V

V_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
VAEReconErrorScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Score function for variational autoencoder reconstruction error for a MultiLayerNetwork or ComputationGraph.
VariationalAutoencoder layer must be first layer in the network
VAEReconErrorScoreCalculator(RegressionEvaluation.Metric, DataSetIterator) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.VAEReconErrorScoreCalculator
Constructor for reconstruction *ERROR*
VAEReconProbScoreCalculator - Class in org.deeplearning4j.earlystopping.scorecalc
Score calculator for variational autoencoder reconstruction probability or reconstruction log probability for a MultiLayerNetwork or ComputationGraph.
VAEReconProbScoreCalculator(DataSetIterator, int, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
Constructor for average reconstruction probability
VAEReconProbScoreCalculator(DataSetIterator, int, boolean, boolean) - Constructor for class org.deeplearning4j.earlystopping.scorecalc.VAEReconProbScoreCalculator
Constructor for reconstruction probability
VaeReconstructionErrorWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to calculate the reconstruction error for a variational autoencoder, that is the first layer in a MultiLayerNetwork.
Note that the VAE must be using a loss function, not a ReconstructionDistribution
Also note that scoring is batched for computational efficiency.
VaeReconstructionErrorWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.VaeReconstructionErrorWithKeyFunction
 
VaeReconstructionProbWithKeyFunction<K> - Class in org.deeplearning4j.spark.impl.multilayer.scoring
Function to calculate the reconstruction probability for a variational autoencoder, that is the first layer in a MultiLayerNetwork.
Note that scoring is batched for computational efficiency.
VaeReconstructionProbWithKeyFunction(Broadcast<INDArray>, Broadcast<String>, boolean, int, int) - Constructor for class org.deeplearning4j.spark.impl.multilayer.scoring.VaeReconstructionProbWithKeyFunction
 
validate() - Method in class org.deeplearning4j.earlystopping.EarlyStoppingConfiguration
 
validate() - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Check the configuration, make sure it is valid
validate(boolean, boolean) - Method in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
Check the configuration, make sure it is valid
validate() - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
validateArrayLocation(ArrayType, INDArray, boolean, boolean) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr
 
validateArrayShape(int[], INDArray) - Static method in class org.deeplearning4j.spark.util.data.validation.ValidateDataSetFn
 
validateArrayWorkspaces(LayerWorkspaceMgr, INDArray, ArrayType, String, boolean, String) - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
validateArrayWorkspaces(LayerWorkspaceMgr, INDArray, ArrayType, int, boolean, String) - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
validateCnn3DKernelStridePadding(int[], int[], int[]) - Static method in class org.deeplearning4j.util.Convolution3DUtils
Perform validation on the CNN3D layer kernel/stride/padding.
validateCnnKernelStridePadding(int[], int[], int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Perform validation on the CNN layer kernel/stride/padding.
validateConfiguration() - Method in class org.deeplearning4j.spark.models.paragraphvectors.SparkParagraphVectors
 
validateConfiguration() - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
validateConfiguration() - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec
 
validateConvolutionModePadding(ConvolutionMode, int[]) - Static method in class org.deeplearning4j.util.ConvolutionUtils
Check that the convolution mode is consistent with the padding specification
ValidateDataSetFn - Class in org.deeplearning4j.spark.util.data.validation
Function used to validate DataSets on HDFS - see SparkDataValidation for further details
ValidateDataSetFn(boolean, int[], int[]) - Constructor for class org.deeplearning4j.spark.util.data.validation.ValidateDataSetFn
 
validateDataSets(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate DataSet objects saved to the specified directory on HDFS by attempting to load them and checking their contents.
validateDataSets(JavaSparkContext, String, int[], int[]) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate DataSet objects saved to the specified directory on HDFS by attempting to load them and checking their contents.
validateDataSets(SparkContext, String, boolean, boolean, int[], int[]) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
 
validateDataSets(JavaSparkContext, String, boolean, boolean, int[], int[]) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
 
validateEvent(ListenerEvent, long) - Method in interface org.deeplearning4j.models.sequencevectors.interfaces.VectorsListener
This method is called prior each processEvent call, to check if this specific VectorsListener implementation is viable for specific event
validateEvent(ListenerEvent, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.ScoreListener
Deprecated.
 
validateEvent(ListenerEvent, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SerializingListener
This method is called prior each processEvent call, to check if this specific VectorsListener implementation is viable for specific event
validateEvent(ListenerEvent, long) - Method in class org.deeplearning4j.models.sequencevectors.listeners.SimilarityListener
 
validateInput() - Method in interface org.deeplearning4j.nn.api.Model
Deprecated.
As of 0.7.3 - Feb 2017. No longer used, most implementations are unsupported or no-op.
validateInput() - Method in class org.deeplearning4j.nn.graph.ComputationGraph
 
validateInput() - Method in class org.deeplearning4j.nn.layers.AbstractLayer
 
validateInput() - Method in class org.deeplearning4j.nn.layers.recurrent.BidirectionalLayer
 
validateInput() - Method in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
validateInput() - Method in class org.deeplearning4j.nn.layers.wrapper.BaseWrapperLayer
 
validateInput() - Method in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
validateInput() - Method in class org.deeplearning4j.plot.BarnesHutTsne
 
validateModel() - Method in class org.deeplearning4j.nn.modelexport.solr.ltr.model.ScoringModel
 
ValidateMultiDataSetFn - Class in org.deeplearning4j.spark.util.data.validation
Function used to validate MultiDataSets on HDFS - see SparkDataValidation for further details
ValidateMultiDataSetFn(boolean, int, int, List<int[]>, List<int[]>) - Constructor for class org.deeplearning4j.spark.util.data.validation.ValidateMultiDataSetFn
 
validateMultiDataSets(JavaSparkContext, String) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects saved to the specified directory on HDFS by attempting to load them and checking their contents.
validateMultiDataSets(JavaSparkContext, String, int, int) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects saved to the specified directory on HDFS by attempting to load them and checking their contents.
validateMultiDataSets(JavaSparkContext, String, List<int[]>, List<int[]>) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
Validate MultiDataSet objects saved to the specified directory on HDFS by attempting to load them and checking their contents.
validateMultiDataSets(SparkContext, String, boolean, boolean, int, int, List<int[]>, List<int[]>) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
 
validateMultiDataSets(JavaSparkContext, String, boolean, boolean, int, int, List<int[]>, List<int[]>) - Static method in class org.deeplearning4j.spark.util.data.SparkDataValidation
 
validateShapes(INDArray, int[], int[], int[], ConvolutionMode, int[], int[], boolean) - Static method in class org.deeplearning4j.util.ConvolutionUtils
 
ValidationResult - Class in org.deeplearning4j.spark.util.data
Result for validation of DataSet and MultiDataSets.
ValidationResult() - Constructor for class org.deeplearning4j.spark.util.data.ValidationResult
 
ValidationResultReduceFn - Class in org.deeplearning4j.spark.util.data.validation
 
ValidationResultReduceFn() - Constructor for class org.deeplearning4j.spark.util.data.validation.ValidationResultReduceFn
 
value() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
value() - Method in enum org.deeplearning4j.ui.stats.sbe.MemoryType
 
value() - Method in enum org.deeplearning4j.ui.stats.sbe.StatSource
 
value() - Method in enum org.deeplearning4j.ui.stats.sbe.StatsType
 
value() - Method in enum org.deeplearning4j.ui.stats.sbe.StatType
 
value() - Method in enum org.deeplearning4j.ui.stats.sbe.SummaryType
 
value() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
value(double) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
valueId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
valueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
valueMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
valueMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
valueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
valueMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
valueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
valueNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
valueOf(String) - Static method in enum com.atilika.kuromoji.TokenizerBase.Mode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum com.atilika.kuromoji.viterbi.ViterbiNode.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.ansj.util.TermUtil.InsertTermType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.api.storage.StatsStorageListener.EventType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.api.storage.StorageType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.clustering.optimisation.ClusteringOptimizationType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.clustering.strategy.ClusteringStrategyType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.fetchers.DataSetType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator.Set
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter.LabelingType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.earlystopping.EarlyStoppingResult.TerminationReason
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator.Metric
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator.ROCType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.eval.Evaluation.Metric
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.eval.EvaluationAveraging
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.eval.RegressionEvaluation.Metric
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.graph.api.NoEdgeHandling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.iterator.CnnSentenceDataSetIterator.UnknownWordHandling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.enums.ListenerEvent
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SpreadSpectrum
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.api.FwdPassType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.api.Layer.TrainingMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.api.Layer.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.api.MaskState
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.api.OptimizationAlgorithm
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.BackpropType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.CacheMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.ConvolutionMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.GradientNormalization
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.graph.ElementWiseVertex.Op
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.inputs.InputType.Type
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.Convolution3D.DataFormat
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BwdDataAlgo
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BwdFilterAlgo
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.FwdAlgo
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.PoolingType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Mode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.DataFormat
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.PoolingType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.layers.SubsamplingLayer.PoolingType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.memory.MemoryType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.memory.MemoryUseMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.Updater
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.conf.WorkspaceMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex.Op
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.modelimport.keras.KerasLayer.DimOrder
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.weights.WeightInit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.nn.workspace.ArrayType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.optimize.api.InvocationType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.optimize.listeners.SleepyTrainingListener.SleepMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.optimize.listeners.SleepyTrainingListener.TimeMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.parallelism.inference.InferenceMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.parallelism.MagicQueue.Mode
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.parallelism.MagicQueue.Type
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.parallelism.ParallelWrapper.TrainingMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.spark.api.RDDTrainingApproach
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.spark.api.Repartition
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.spark.api.RepartitionStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction.AlignmentMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.streaming.kafka.NDArrayType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.api.FunctionType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.api.HttpMethod
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.api.LengthUnit
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.components.component.style.StyleDiv.FloatValue
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.api.StatsType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.api.SummaryType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.sbe.MemoryType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.sbe.MetaAttribute
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.sbe.StatSource
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.sbe.StatsType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.sbe.StatType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.ui.stats.sbe.SummaryType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.zoo.PretrainedType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.deeplearning4j.zoo.ZooType
Returns the enum constant of this type with the specified name.
values() - Static method in enum com.atilika.kuromoji.TokenizerBase.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class com.atilika.kuromoji.trie.PatriciaTrie
Returns a copy of the values contained in this trie as a Set
values() - Static method in enum com.atilika.kuromoji.viterbi.ViterbiNode.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.ansj.util.TermUtil.InsertTermType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.api.storage.StatsStorageListener.EventType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.api.storage.StorageType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.clustering.optimisation.ClusteringOptimizationType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.clustering.strategy.ClusteringStrategyType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.AlignmentMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.datasets.datavec.SequenceRecordReaderDataSetIterator.AlignmentMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.datasets.fetchers.DataSetType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.datasets.iterator.impl.EmnistDataSetIterator.Set
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.datasets.rearrange.LocalUnstructuredDataFormatter.LabelingType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.earlystopping.EarlyStoppingResult.TerminationReason
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator.Metric
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.earlystopping.scorecalc.ROCScoreCalculator.ROCType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.eval.Evaluation.Metric
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.eval.EvaluationAveraging
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.eval.RegressionEvaluation.Metric
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.graph.api.NoEdgeHandling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.iterator.CnnSentenceDataSetIterator.UnknownWordHandling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.enums.ListenerEvent
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.NoEdgeHandling
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.PopularityMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SamplingMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.SpreadSpectrum
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkDirection
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.models.sequencevectors.graph.enums.WalkMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.api.FwdPassType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.api.Layer.TrainingMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.api.Layer.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.api.MaskState
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.api.OptimizationAlgorithm
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.BackpropType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.CacheMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.ConvolutionMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.GradientNormalization
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.graph.ElementWiseVertex.Op
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.inputs.InputType.Type
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.Convolution3D.DataFormat
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.AlgoMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BwdDataAlgo
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.BwdFilterAlgo
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.ConvolutionLayer.FwdAlgo
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.PoolingType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.recurrent.Bidirectional.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.SpaceToDepthLayer.DataFormat
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.Subsampling3DLayer.PoolingType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.layers.SubsamplingLayer.PoolingType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.memory.MemoryType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.memory.MemoryUseMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.Updater
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.conf.WorkspaceMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.graph.vertex.impl.ElementWiseVertex.Op
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.modelimport.keras.KerasLayer.DimOrder
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.weights.WeightInit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.nn.workspace.ArrayType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.optimize.api.InvocationType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.optimize.listeners.SleepyTrainingListener.SleepMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.optimize.listeners.SleepyTrainingListener.TimeMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.parallelism.inference.InferenceMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.parallelism.MagicQueue.Mode
Deprecated.
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.parallelism.MagicQueue.Type
Deprecated.
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.parallelism.ParallelWrapper.TrainingMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.spark.api.RDDTrainingApproach
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.spark.api.Repartition
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.spark.api.RepartitionStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.spark.datavec.DataVecSequencePairDataSetFunction.AlignmentMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.streaming.kafka.NDArrayType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.api.FunctionType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.api.HttpMethod
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.api.LengthUnit
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.components.component.style.StyleDiv.FloatValue
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.api.StatsType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.api.SummaryType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.sbe.MemoryType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.sbe.MetaAttribute
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.sbe.StatSource
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.sbe.StatsType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.sbe.StatType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.ui.stats.sbe.SummaryType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.zoo.PretrainedType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.deeplearning4j.zoo.ZooType
Returns an array containing the constants of this enum type, in the order they are declared.
VanillaStatsStorageRouter - Class in org.deeplearning4j.spark.impl.listeners
Standard router for use in Spark: simply collect the data for later serialization and passing back to the master.
VanillaStatsStorageRouter() - Constructor for class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouter
 
VanillaStatsStorageRouterProvider - Class in org.deeplearning4j.spark.impl.listeners
Returns a new instance of a VanillaStatsStorageRouter
VanillaStatsStorageRouterProvider() - Constructor for class org.deeplearning4j.spark.impl.listeners.VanillaStatsStorageRouterProvider
 
varDataMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
varDataMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
varDataMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
varDataMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
varDataNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
varDataNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
VarDataUTF8Decoder - Class in org.deeplearning4j.ui.stats.sbe
 
VarDataUTF8Decoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
VarDataUTF8Encoder - Class in org.deeplearning4j.ui.stats.sbe
 
VarDataUTF8Encoder() - Constructor for class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
variables - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
variables() - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
variables(boolean) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration
 
variableWindows - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
variableWindows - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
variableWindows - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
variableWindows - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
variance(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
VarianceVariationCondition - Class in org.deeplearning4j.clustering.condition
 
VarianceVariationCondition() - Constructor for class org.deeplearning4j.clustering.condition.VarianceVariationCondition
 
varianceVariationLessThan(double, int) - Static method in class org.deeplearning4j.clustering.condition.VarianceVariationCondition
 
VariationalAutoencoder - Class in org.deeplearning4j.nn.conf.layers.variational
Variational Autoencoder layer
VariationalAutoencoder - Class in org.deeplearning4j.nn.layers.variational
Variational Autoencoder layer
VariationalAutoencoder(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
VariationalAutoencoder.Builder - Class in org.deeplearning4j.nn.conf.layers.variational
 
VariationalAutoencoderParamInitializer - Class in org.deeplearning4j.nn.params
Parameter initializer for the Variational Autoencoder model.
VariationalAutoencoderParamInitializer() - Constructor for class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
vector(String) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
vector(String) - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
 
vector() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
 
VECTOR_LENGTH - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
VECTOR_LENGTH - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
VECTOR_LENGTH - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
vectorize(InputStream, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
Text coming from an input stream considered as one document
vectorize(String, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
 
vectorize(File, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
 
vectorize() - Method in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer
Vectorizes the input source in to a dataset
vectorize(InputStream, String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Text coming from an input stream considered as one document
vectorize(String, String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
Vectorizes the passed in text treating it as one document
vectorize(File, String) - Method in interface org.deeplearning4j.bagofwords.vectorizer.TextVectorizer
 
vectorize(InputStream, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
Text coming from an input stream considered as one document
vectorize(String, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
Vectorizes the passed in text treating it as one document
vectorize(File, String) - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
 
vectorize() - Method in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer
Vectorizes the input source in to a dataset
vectorize() - Method in interface org.deeplearning4j.datasets.vectorizer.Vectorizer
Vectorizes the input source in to a dataset
Vectorizer - Interface in org.deeplearning4j.datasets.vectorizer
A Vectorizer at its essence takes an input source and converts it to a matrix for neural network consumption.
vectorLength(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
Returns the vector length (sqrt(sum(x_i))
vectorLength - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
vectorLength(int) - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
vectorLength - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
vectorLength - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
vectorLength - Variable in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer.BinaryReader
 
vectorLength(int) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
vectorLength(int) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
vectors() - Method in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
vectors() - Method in interface org.deeplearning4j.models.embeddings.WeightLookupTable
Iterates through all of the vectors in the cache
vectorsAndGradients(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
Returns vertex vector and vector gradients, plus inner node vectors and inner node gradients
Specifically, out[0] are vectors, out[1] are gradients for the corresponding vectors
out[0][0] is vector for first vertex; out[0][1] is gradient for this vertex vector
out[0][i] (i>0) is the inner node vector along path to second vertex; out[1][i] is gradient for inner node vertex
This design is used primarily to aid in testing (numerical gradient checks)
VectorsConfiguration - Class in org.deeplearning4j.models.embeddings.loader
This is simple bean/POJO for Word2Vec persistence handling.
VectorsConfiguration() - Constructor for class org.deeplearning4j.models.embeddings.loader.VectorsConfiguration
 
vectorsConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
vectorsConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
vectorsConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
vectorsConfiguration - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
vectorsConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
vectorsConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.DistributedFunction
 
vectorSize(int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Sets the size of the vectors to be learned for each vertex in the graph
vectorSize() - Method in interface org.deeplearning4j.graph.models.embeddings.GraphVectorLookupTable
The size of the vector representations
vectorSize - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
vectorSize() - Method in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
VectorsListener<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.interfaces
This interface describes Listeners to SequenceVectors and its derivatives.
vectorsListeners - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
VERSION - Static variable in class org.ansj.app.crf.model.CRFModel
 
version() - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
version(int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
versionMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
versionMaxValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
versionMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
versionMinValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
versionNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
versionNullValue() - Static method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
Vertex<T> - Class in org.deeplearning4j.graph.api
Vertex in a graph
Vertex() - Constructor for class org.deeplearning4j.graph.api.Vertex
 
Vertex<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.primitives
Vertex in a graph
Vertex() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
 
vertex - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
VertexComparator(IGraph<V, E>) - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.VertexComparator
 
VertexFactory<T> - Interface in org.deeplearning4j.graph.vertexfactory
Vertex factory, used to create nodes from an integer index (0 to nVertices-1 inclusive)
VertexFactory<T extends SequenceElement> - Interface in org.deeplearning4j.models.sequencevectors.graph.vertex
Vertex factory, used to create nodes from an integer index (0 to nVertices-1 inclusive)
vertexID() - Method in class org.deeplearning4j.graph.api.Vertex
 
vertexID() - Method in class org.deeplearning4j.models.sequencevectors.graph.primitives.Vertex
 
vertexIndex - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
The index of this vertex
VertexIndices - Class in org.deeplearning4j.nn.graph.vertex
VertexIndices defines a pair of integers: the index of a vertex, and the edge number of that vertex.
VertexIndices() - Constructor for class org.deeplearning4j.nn.graph.vertex.VertexIndices
 
vertexInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
Key: graph node.
vertexInputs - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
VertexLoader<V> - Interface in org.deeplearning4j.graph.data
Interface defines a method of leading vertices from a file.
vertexName - Variable in class org.deeplearning4j.nn.graph.vertex.BaseGraphVertex
 
VertexSequence<V> - Class in org.deeplearning4j.graph.graph
A vertex sequence represents a sequences of vertices in a graph
VertexSequence(IGraph<V, ?>, int[]) - Constructor for class org.deeplearning4j.graph.graph.VertexSequence
 
vertexVectors - Variable in class org.deeplearning4j.graph.models.embeddings.InMemoryGraphLookupTable
 
vertices - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration.GraphBuilder
 
vertices - Variable in class org.deeplearning4j.nn.conf.ComputationGraphConfiguration
 
vertices - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
All GraphVertex objects in the network.
verticesMap - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
Map of vertices by name
verticesNearest(int, int) - Method in class org.deeplearning4j.graph.models.embeddings.GraphVectorsImpl
 
verticesNearest(int, int) - Method in interface org.deeplearning4j.graph.models.GraphVectors
 
VGG16 - Class in org.deeplearning4j.zoo.model
VGG-16, from Very Deep Convolutional Networks for Large-Scale Image Recognition https://arxiv.org/abs/1409.1556 Deep Face Recognition http://www.robots.ox.ac.uk/~vgg/publications/2015/Parkhi15/parkhi15.pdf
VGG19 - Class in org.deeplearning4j.zoo.model
VGG-19, from Very Deep Convolutional Networks for Large-Scale Image Recognition https://arxiv.org/abs/1409.1556)
VirtualDataSetIterator - Class in org.deeplearning4j.spark.parameterserver.iterators
This DataSetIterator implementation does accumulation of DataSets from different Spark executors, wrt Thread/Device Affinity
VirtualDataSetIterator(List<Iterator<DataSet>>) - Constructor for class org.deeplearning4j.spark.parameterserver.iterators.VirtualDataSetIterator
 
VirtualIterator<E> - Class in org.deeplearning4j.spark.parameterserver.iterators
This class is thin wrapper, to provide block-until-depleted functionality in multi-threaded environment
VirtualIterator(Iterator<E>) - Constructor for class org.deeplearning4j.spark.parameterserver.iterators.VirtualIterator
 
VirtualMultiDataSetIterator - Class in org.deeplearning4j.spark.parameterserver.iterators
This MultiDataSetIterator implementation does accumulation of MultiDataSets from different Spark executors, wrt Thread/Device Affinity
VirtualMultiDataSetIterator(List<Iterator<MultiDataSet>>) - Constructor for class org.deeplearning4j.spark.parameterserver.iterators.VirtualMultiDataSetIterator
 
VISIBLE_BIAS_KEY - Static variable in class org.deeplearning4j.nn.params.PretrainParamInitializer
 
visibleBiasInit - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
visibleBiasInit(double) - Method in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork.Builder
 
visibleBiasInit - Variable in class org.deeplearning4j.nn.conf.layers.BasePretrainNetwork
 
ViterbiBuilder - Class in com.atilika.kuromoji.viterbi
 
ViterbiBuilder(DoubleArrayTrie, TokenInfoDictionary, UnknownDictionary, UserDictionary, TokenizerBase.Mode) - Constructor for class com.atilika.kuromoji.viterbi.ViterbiBuilder
Constructor
ViterbiFormatter - Class in com.atilika.kuromoji.viterbi
 
ViterbiFormatter(ConnectionCosts) - Constructor for class com.atilika.kuromoji.viterbi.ViterbiFormatter
 
ViterbiLattice - Class in com.atilika.kuromoji.viterbi
 
ViterbiLattice(int) - Constructor for class com.atilika.kuromoji.viterbi.ViterbiLattice
 
ViterbiNode - Class in com.atilika.kuromoji.viterbi
 
ViterbiNode(int, String, int, int, int, int, ViterbiNode.Type) - Constructor for class com.atilika.kuromoji.viterbi.ViterbiNode
 
ViterbiNode(int, String, Dictionary, int, ViterbiNode.Type) - Constructor for class com.atilika.kuromoji.viterbi.ViterbiNode
 
ViterbiNode.Type - Enum in com.atilika.kuromoji.viterbi
 
ViterbiSearcher - Class in com.atilika.kuromoji.viterbi
 
ViterbiSearcher(TokenizerBase.Mode, ConnectionCosts, UnknownDictionary, List<Integer>) - Constructor for class com.atilika.kuromoji.viterbi.ViterbiSearcher
 
vocab - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable
 
vocab() - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Vocab for the vectors
vocab - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
vocab() - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
vocab() - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Vocab for the vectors
vocabCache - Variable in class org.deeplearning4j.bagofwords.vectorizer.BagOfWordsVectorizer.Builder
 
vocabCache - Variable in class org.deeplearning4j.bagofwords.vectorizer.BaseTextVectorizer
 
vocabCache - Variable in class org.deeplearning4j.bagofwords.vectorizer.TfidfVectorizer.Builder
 
vocabCache - Variable in class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.Builder
 
vocabCache - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
vocabCache - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
vocabCache - Variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
vocabCache - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
vocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
vocabCache - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
vocabCache(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
vocabCache(VocabCache<V>) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
vocabCache(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method allows to define external VocabCache to be used
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
vocabCache(VocabCache<T>) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
You can pass externally built vocabCache object, containing vocabulary
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
vocabCache - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.SentenceTransformer.Builder
 
vocabCache(VocabCache<VocabWord>) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method allows to define external VocabCache to be used
VocabCache<T extends SequenceElement> - Interface in org.deeplearning4j.models.word2vec.wordstore
A VocabCache handles the storage of information needed for the word2vec look up table.
vocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
vocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.elements.BaseSparkLearningAlgorithm
 
vocabCache - Variable in class org.deeplearning4j.spark.models.sequencevectors.learning.sequence.BaseSparkSequenceLearningAlgorithm
 
vocabCacheBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.PartitionTrainingFunction
 
vocabCacheBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.TrainingFunction
 
vocabCacheBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors
 
VocabCacheExporter - Class in org.deeplearning4j.spark.models.sequencevectors.export.impl
This model exporter is suitable for debug/testing only.
VocabCacheExporter() - Constructor for class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
VocabConstructor<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore
This class can be used to build joint vocabulary from special sources, that should be treated separately.
VocabConstructor.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.word2vec.wordstore
 
VocabConstructor.VocabRunnable - Class in org.deeplearning4j.models.word2vec.wordstore
 
vocabExists() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns true, if number of elements in vocabulary > 0, false otherwise
vocabExists() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
vocabExists() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Vocab exists already
VocabHolder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
vocabId - Variable in class org.deeplearning4j.models.word2vec.VocabWord
 
vocabLimit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
vocabLimit - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors
 
VocabRddFunctionFlat<T extends SequenceElement> - Class in org.deeplearning4j.spark.models.sequencevectors.functions
 
VocabRddFunctionFlat(Broadcast<VectorsConfiguration>, Broadcast<VoidConfiguration>) - Constructor for class org.deeplearning4j.spark.models.sequencevectors.functions.VocabRddFunctionFlat
 
VocabRunnable(AbstractCache<T>, Sequence<T>, AtomicLong, AtomicLong) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabConstructor.VocabRunnable
 
vocabs - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
VocabularyHolder - Class in org.deeplearning4j.models.word2vec.wordstore
This class is used as simplifed VocabCache for vocabulary building routines.
VocabularyHolder() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Default constructor
VocabularyHolder(VocabCache<? extends SequenceElement>, boolean) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Builds VocabularyHolder from VocabCache.
VocabularyHolder.Builder - Class in org.deeplearning4j.models.word2vec.wordstore
 
VocabularyWord - Class in org.deeplearning4j.models.word2vec.wordstore
Simplified version of VocabWord.
VocabularyWord() - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
VocabularyWord(String) - Constructor for class org.deeplearning4j.models.word2vec.wordstore.VocabularyWord
 
VocabWord - Class in org.deeplearning4j.models.word2vec
Intermediate layers of the neural network
VocabWord(double, String) - Constructor for class org.deeplearning4j.models.word2vec.VocabWord
 
VocabWord(double, String, long) - Constructor for class org.deeplearning4j.models.word2vec.VocabWord
 
VocabWord() - Constructor for class org.deeplearning4j.models.word2vec.VocabWord
 
VocabWordFactory - Class in org.deeplearning4j.models.sequencevectors.serialization
 
VocabWordFactory() - Constructor for class org.deeplearning4j.models.sequencevectors.serialization.VocabWordFactory
 
VocabWordPairs - Class in org.deeplearning4j.spark.models.embeddings.glove
Convert string to vocab words
VocabWordPairs(Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.models.embeddings.glove.VocabWordPairs
 
vocabWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns collection of SequenceElements stored in this vocabulary
vocabWords() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns all of the vocab word nodes
vocabWords() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns all of the vocab word nodes
VocabWork - Class in org.deeplearning4j.models.word2vec
Vocab work meant for use with the vocab actor
VocabWork(AtomicInteger, String, boolean) - Constructor for class org.deeplearning4j.models.word2vec.VocabWork
 
VocabWork(AtomicInteger, String, boolean, String) - Constructor for class org.deeplearning4j.models.word2vec.VocabWork
 
VocabWork(AtomicInteger, String, boolean, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.VocabWork
 
VOCLabels - Class in org.deeplearning4j.zoo.util.darknet
Helper class that returns label descriptions for YOLO models trained with Pascal VOC.
VOCLabels() - Constructor for class org.deeplearning4j.zoo.util.darknet.VOCLabels
 
voidConfiguration - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
voidConfiguration - Variable in class org.deeplearning4j.spark.parameterserver.networking.SilentTrainingDriver
 
voidConfiguration - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
 
voidConfiguration - Variable in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster
 
voidConfigurationBroadcast - Variable in class org.deeplearning4j.spark.models.sequencevectors.functions.CountFunction
 
VoidVertexFactory - Class in org.deeplearning4j.graph.vertexfactory
 
VoidVertexFactory() - Constructor for class org.deeplearning4j.graph.vertexfactory.VoidVertexFactory
 
VPTree - Class in org.deeplearning4j.clustering.vptree
Vantage point tree implementation
VPTree(INDArray, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(INDArray, boolean, int) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(INDArray, String, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(List<DataPoint>, String, int, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(INDArray, String) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(INDArray, String, int, boolean) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(List<DataPoint>, String) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(INDArray) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
VPTree(List<DataPoint>) - Constructor for class org.deeplearning4j.clustering.vptree.VPTree
 
vpTree - Variable in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
VPTree.HeapObjectComparator - Class in org.deeplearning4j.clustering.vptree
 
VPTree.Node - Class in org.deeplearning4j.clustering.vptree
 
VPTree.NodeBuilder - Class in org.deeplearning4j.clustering.vptree
 
VPTreeFillSearch - Class in org.deeplearning4j.clustering.vptree
Brute force search for running search relative to a target but forced to fill the result list until the desired k is matched.
VPTreeFillSearch(VPTree, int, INDArray) - Constructor for class org.deeplearning4j.clustering.vptree.VPTreeFillSearch
 
vpTreeWorkers(int) - Method in class org.deeplearning4j.plot.BarnesHutTsne.Builder
 

W

w_0(double[], double[], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
w_1(double[], double[], int) - Static method in class org.deeplearning4j.clustering.util.MathUtils
 
W_KEY - Static variable in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
waitTillDone() - Method in class org.deeplearning4j.parallelism.inference.observers.BasicInferenceObserver
FOR DEBUGGING ONLY, TO BE REMOVED BEFORE MERGE
waitTillDone() - Method in class org.deeplearning4j.spark.parameterserver.util.BlockingObserver
This method blocks until state is set to True
waitTillRunning() - Method in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
waitTillRunning() - Method in interface org.deeplearning4j.parallelism.trainer.Trainer
Block the main thread till the trainer is up and running.
walk() - Method in class org.ansj.recognition.impl.NatureRecognition
 
walk(Vertex<V>, int) - Method in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
WalkDirection - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
This enum describes walker behavior when choosing next hop.
walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
walkDirection - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer.Builder
 
walker - Variable in class org.deeplearning4j.models.sequencevectors.transformers.impl.GraphTransformer
 
walkLength() - Method in interface org.deeplearning4j.graph.iterator.GraphWalkIterator
Length of the walks returned by next() Note that a walk of length i contains i+1 vertices
walkLength() - Method in class org.deeplearning4j.graph.iterator.RandomWalkIterator
 
walkLength() - Method in class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker.Builder
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.NearestVertexWalker
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker.Builder
 
walkLength - Variable in class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.RandomWalker
 
WalkMode - Enum in org.deeplearning4j.models.sequencevectors.graph.enums
 
walkPath() - Method in class org.ansj.util.Graph
 
walkPath(Map<String, Double>) - Method in class org.ansj.util.Graph
干涉性增加相对权重
walkPathByScore() - Method in class org.ansj.util.Graph
 
WapitiCRFModel - Class in org.ansj.app.crf.model
加载wapiti生成的crf模型,测试使用的wapiti版本为:Wapiti v1.5.0 wapiti 下载地址:https://wapiti.limsi.fr/#download 在这里感谢作者所做的工作.
WapitiCRFModel() - Constructor for class org.ansj.app.crf.model.WapitiCRFModel
 
wasAveraged - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
WebReporter - Class in org.deeplearning4j.ui
This is simple wrapper for sending state updates generated by `TrainingListener`s.
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.CenterLossParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.Convolution3DParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
WEIGHT_KEY - Static variable in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
WEIGHT_KEY_SUFFIX - Static variable in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
weightConstraints - Variable in class org.deeplearning4j.nn.conf.layers.Layer.Builder
 
weightConstraints - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
WeightedEdgeLineProcessor - Class in org.deeplearning4j.graph.data.impl
A simple line processor, for data in the format 0<delim>1<delim>weight.
WeightedEdgeLineProcessor(String, boolean) - Constructor for class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
 
WeightedEdgeLineProcessor(String, boolean, String...) - Constructor for class org.deeplearning4j.graph.data.impl.WeightedEdgeLineProcessor
 
WeightedRandomWalkGraphIteratorProvider<V> - Class in org.deeplearning4j.graph.iterator.parallel
Weighted random walk graph iterator provider: given a weighted graph (of type IGraph<?,? extends Number>), split up the generation of weighted random walks for parallel learning.
WeightedRandomWalkGraphIteratorProvider(IGraph<V, ? extends Number>, int) - Constructor for class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
 
WeightedRandomWalkGraphIteratorProvider(IGraph<V, ? extends Number>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.parallel.WeightedRandomWalkGraphIteratorProvider
 
WeightedRandomWalkIterator<V> - Class in org.deeplearning4j.graph.iterator
Given a graph, iterate through random walks on that graph of a specified length.
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
Construct a RandomWalkIterator for a given graph, with a specified walk length and random number generator seed.
Uses NoEdgeHandling.EXCEPTION_ON_DISCONNECTED - hence exception will be thrown when generating random walks on graphs with vertices containing having no edges, or no outgoing edges (for directed graphs)
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long, NoEdgeHandling) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
 
WeightedRandomWalkIterator(IGraph<V, ? extends Number>, int, long, NoEdgeHandling, int, int) - Constructor for class org.deeplearning4j.graph.iterator.WeightedRandomWalkIterator
Constructor used to generate random walks starting at a subset of the vertices in the graph.
WeightedWalker<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
This is vertex weight-based walker for SequenceVectors-based DeepWalk implementation.
WeightedWalker() - Constructor for class org.deeplearning4j.models.sequencevectors.graph.walkers.impl.WeightedWalker
 
WeightedWalker.Builder<T extends SequenceElement> - Class in org.deeplearning4j.models.sequencevectors.graph.walkers.impl
 
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Weight initialization scheme to use, for initial weight values
weightInit(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set weight initialization scheme to random sampling via the specified distribution.
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer.Builder
 
weightInit - Variable in class org.deeplearning4j.nn.conf.layers.samediff.BaseSameDiffLayer
 
weightInit - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Weight initialization scheme.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
weightInit(Distribution) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set weight initialization scheme to random sampling via the specified distribution.
weightInit(WeightInit) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Weight initialization scheme
weightInit(Distribution) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Set weight initialization scheme to random sampling via the specified distribution.
Equivalent to: .weightInit(WeightInit.DISTRIBUTION).dist(distribution)
weightInit - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
WeightInit - Enum in org.deeplearning4j.nn.weights
Weight initialization scheme
weightInitRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
 
weightInitRecurrent(WeightInit) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
Set the weight initialization for the recurrent weights.
weightInitRecurrent(Distribution) - Method in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer.Builder
Set the weight initialization for the recurrent weights, based on the specified distribution.
weightInitRecurrent - Variable in class org.deeplearning4j.nn.conf.layers.BaseRecurrentLayer
 
WeightInitUtil - Class in org.deeplearning4j.nn.weights
Weight initialization utility
WeightIterator() - Constructor for class org.deeplearning4j.models.embeddings.inmemory.InMemoryLookupTable.WeightIterator
 
weightKeys(Layer) - Method in interface org.deeplearning4j.nn.api.ParamInitializer
Weight parameter keys given the layer configuration
weightKeys(Layer) - Method in class org.deeplearning4j.nn.layers.ocnn.OCNNParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.BatchNormalizationParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.BidirectionalParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.ConvolutionParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.DefaultParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.DepthwiseConvolutionParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.EmptyParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.FrozenLayerWithBackpropParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesBidirectionalLSTMParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.GravesLSTMParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.LSTMParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.SameDiffParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.SeparableConvolutionParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.SimpleRnnParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.VariationalAutoencoderParamInitializer
 
weightKeys(Layer) - Method in class org.deeplearning4j.nn.params.WrapperLayerParamInitializer
 
weightL1Regularization - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
weightL2Regularization - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
WeightLookupTable<T extends SequenceElement> - Interface in org.deeplearning4j.models.embeddings
General weight lookup table
weightNoise - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
 
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.nn.conf.layers.BaseLayer.Builder
Set the weight noise (such as DropConnect and WeightNoise) for this layer
weightNoise - Variable in class org.deeplearning4j.nn.conf.layers.BaseLayer
 
weightNoise - Variable in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
 
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.nn.conf.NeuralNetConfiguration.Builder
Set the weight noise (such as DropConnect and WeightNoise) for the layers in this network.
Note: values set by this method will be applied to all applicable layers in the network, unless a different value is explicitly set on a given layer.
WeightNoise - Class in org.deeplearning4j.nn.conf.weightnoise
Apply noise of the specified distribution to the weights at training time.
WeightNoise(Distribution) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
WeightNoise(Distribution, boolean) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
WeightNoise(Distribution, boolean, boolean) - Constructor for class org.deeplearning4j.nn.conf.weightnoise.WeightNoise
 
weightNoise(IWeightNoise) - Method in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration.Builder
Set the weight noise (such as DropConnect and WeightNoise)
weightNoise - Variable in class org.deeplearning4j.nn.transferlearning.FineTuneConfiguration
 
weightNoiseParams - Variable in class org.deeplearning4j.nn.layers.BaseLayer
 
weightNoiseParams - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
weights - Variable in class org.deeplearning4j.nn.modelimport.keras.KerasLayer
 
weights(InMemoryLookupTable) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
weightsArchive - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
weightsFor(List<Double>) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the minimized loss values for a given vector.
weightsFor(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the minimized loss values for a given vector.
weightsHdf5Filename(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
weightsHdf5FilenameNoRoot(String) - Method in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
weightsRoot - Variable in class org.deeplearning4j.nn.modelimport.keras.utils.KerasModelBuilder
 
whitespaceMode(String) - Method in class org.deeplearning4j.ui.components.table.style.StyleTable.Builder
Set the whitespace mode (CSS style tag).
whitespacePre(boolean) - Method in class org.deeplearning4j.ui.components.text.style.StyleText.Builder
If set to true: add a "white-space: pre" to the style.
width(int) - Method in class org.deeplearning4j.clustering.sptree.Cell
 
width() - Method in class org.deeplearning4j.clustering.sptree.Cell
 
WIDTH - Static variable in class org.deeplearning4j.datasets.iterator.impl.CifarDataSetIterator
 
width - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
width(double, LengthUnit) - Method in class org.deeplearning4j.ui.api.Style.Builder
 
widthUnit - Variable in class org.deeplearning4j.ui.api.Style.Builder
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.CBOW
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.SkipGram
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DBOW
 
window - Variable in class org.deeplearning4j.models.embeddings.learning.impl.sequence.DM
 
window - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
window - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
window(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
WINDOW - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
WINDOW - Static variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecVariables
Deprecated.
 
Window - Class in org.deeplearning4j.text.movingwindow
A representation of a sliding window.
Window(Collection<String>, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
Creates a window with a context of size 3
Window(Collection<String>, int, int, int) - Constructor for class org.deeplearning4j.text.movingwindow.Window
Initialize a window with the given size
WindowConverter - Class in org.deeplearning4j.text.movingwindow
Util methods for converting windows to training examples
windowForWordInPosition(int, int, List<String>) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Creates a sliding window from text
Windows - Class in org.deeplearning4j.text.movingwindow
Static utility class for textual based windowing cooccurrences
windows(InputStream, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(InputStream, TokenizerFactory, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, TokenizerFactory, int, WordVectors) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(String, TokenizerFactory) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize.
windows(List<String>, int) - Static method in class org.deeplearning4j.text.movingwindow.Windows
Constructs a list of window of size windowSize
windows() - Method in class org.deeplearning4j.util.MovingWindowMatrix
Returns a list of non flattened moving window matrices
windows(boolean) - Method in class org.deeplearning4j.util.MovingWindowMatrix
Moving window, capture a row x column moving window of a given matrix
windowSize(int) - Method in class org.deeplearning4j.graph.models.deepwalk.DeepWalk.Builder
Sets the window size used in skipgram model
windowSize - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
windowSize(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
windowSize - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
windowSize(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
windowSize(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
windowSize(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines context window size
windowSize(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets window size for skip-Gram training
windowSize(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines context window size
windowSize - Variable in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
 
windowSize(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specifies window size
WiredEncodingHandler - Class in org.deeplearning4j.spark.parameterserver.networking
This MessageHandler implementation does the same as EncodingHandler, plus additionally: sends encoded messages over the wire + receives encoded messages from outer parties
WiredEncodingHandler() - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance with initial encoding of 1e-3
WiredEncodingHandler(double) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
WiredEncodingHandler(double, Double) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
WiredEncodingHandler(double, double, double, double, int, int) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
WiredEncodingHandler(double, double, double, double, int, int, Double) - Constructor for class org.deeplearning4j.spark.parameterserver.networking.WiredEncodingHandler
This method builds new WiredEncodingHandler instance
with(K, V) - Static method in class org.ansj.domain.KV
 
with(ArrayType, String, WorkspaceConfiguration) - Method in class org.deeplearning4j.nn.workspace.LayerWorkspaceMgr.Builder
Configure the workspace (name, configuration) for the specified array type
Word2Vec - Class in org.deeplearning4j.models.word2vec
This is Word2Vec implementation based on SequenceVectors
Word2Vec() - Constructor for class org.deeplearning4j.models.word2vec.Word2Vec
 
Word2Vec - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Spark version of word2vec
Word2Vec(INDArray) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
Word2Vec() - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec
 
word2Vec - Variable in class org.deeplearning4j.spark.models.sequencevectors.export.impl.VocabCacheExporter
 
Word2Vec.Builder - Class in org.deeplearning4j.models.word2vec
 
Word2Vec.Builder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
 
Word2VecChange - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecChange(List<Triple<Integer, Integer, Integer>>, Word2VecParam) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecChange
Deprecated.
 
Word2VecDataFetcher - Class in org.deeplearning4j.models.word2vec.iterator
 
Word2VecDataFetcher(String, Word2Vec, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataFetcher
 
Word2VecDataSetIterator - Class in org.deeplearning4j.models.word2vec.iterator
Iterates over a sentence with moving window to produce a data applyTransformToDestination for word windows based on a pretrained word2vec.
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int, boolean, boolean) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Allows for customization of all of the params of the iterator
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Initializes this iterator with homogenization and adding labels and a batch size of 10
Word2VecDataSetIterator(Word2Vec, LabelAwareSentenceIterator, List<String>, int) - Constructor for class org.deeplearning4j.models.word2vec.iterator.Word2VecDataSetIterator
Initializes this iterator with homogenization and adding labels
Word2VecFuncCall - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecFuncCall(Broadcast<Word2VecParam>, Long, List<VocabWord>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecFuncCall
Deprecated.
 
Word2VecParam - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecParam(boolean, double, int, INDArray, int, AtomicLong, double, double, int, int, Broadcast<AtomicLong>, InMemoryLookupTable, int, Broadcast<double[]>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam
Deprecated.
 
Word2VecParam.Builder - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
 
Word2VecPerformer - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecPerformer(SparkConf, Broadcast<AtomicLong>, InMemoryLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformer
Deprecated.
 
Word2VecPerformerVoid - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecPerformerVoid(SparkConf, Broadcast<AtomicLong>, InMemoryLookupTable) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecPerformerVoid
Deprecated.
 
Word2VecSetup - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
Word2VecSetup(Broadcast<Word2VecParam>) - Constructor for class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecSetup
Deprecated.
 
Word2VecVariables - Class in org.deeplearning4j.spark.models.embeddings.word2vec
Deprecated.
WORD_COST - Static variable in class com.atilika.kuromoji.dict.DictionaryField
 
wordAlert(String) - Static method in class org.ansj.app.crf.Config
词语标准化
wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns the label of the element at specified Huffman index
wordAtIndex(int) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the word contained at the given index or null
wordAtIndex(int) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the word contained at the given index or null
WordConverter - Class in org.deeplearning4j.text.movingwindow
 
WordConverter(List<String>, Word2Vec) - Constructor for class org.deeplearning4j.text.movingwindow.WordConverter
 
wordCost - Variable in class com.atilika.kuromoji.dict.DictionaryEntryBase
 
wordCost(short) - Method in class com.atilika.kuromoji.dict.GenericDictionaryEntry.Builder
 
wordCount(Broadcast<AtomicLong>) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2VecParam.Builder
Deprecated.
 
wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns SequenceElement for specified label
wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
 
wordFor(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
wordFor(long) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
wordFor(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
wordFor(long) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
 
WordFreqAccumulator - Class in org.deeplearning4j.spark.text.accumulators
 
WordFreqAccumulator() - Constructor for class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
wordFrequencies - Variable in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
 
wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns the SequenceElement's frequency over training corpus
wordFrequency(String) - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns the number of times the word has occurred
wordFrequency(String) - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns the number of times the word has occurred
WordIdMap - Class in com.atilika.kuromoji.buffer
 
WordIdMap(InputStream) - Constructor for class com.atilika.kuromoji.buffer.WordIdMap
 
wordIdMap - Variable in class com.atilika.kuromoji.dict.TokenInfoDictionary
 
WordIdMapCompiler - Class in com.atilika.kuromoji.compile
 
WordIdMapCompiler() - Constructor for class com.atilika.kuromoji.compile.WordIdMapCompiler
 
WordIdMapCompiler.GrowableIntArray - Class in com.atilika.kuromoji.compile
 
wordIdsCompiler - Variable in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.AbstractCache
Returns collection of labels available in this vocabulary
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.inmemory.InMemoryLookupCache
Deprecated.
Returns all of the words in the vocab
words() - Method in interface org.deeplearning4j.models.word2vec.wordstore.VocabCache
Returns all of the words in the vocab
words() - Method in class org.deeplearning4j.models.word2vec.wordstore.VocabularyHolder
Returns sorted list of words in vocabulary.
WordSimilarity() - Constructor for class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils.WordSimilarity
 
WordsListToVocabWordsFunction - Class in org.deeplearning4j.spark.text.functions
 
WordsListToVocabWordsFunction(Broadcast<VocabCache<VocabWord>>) - Constructor for class org.deeplearning4j.spark.text.functions.WordsListToVocabWordsFunction
 
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Words nearest based on positive and negative words * @param top the top n words
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
This method does full scan against whole vocabulary, building descending list of similar words
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.FlatModelUtils
This method does full scan against whole vocabulary, building descending list of similar words
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
This method returns nearest words for target word, based on tree structure.
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.TreeModelUtils
 
wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
This method implementations should return N nearest elements labels to given element's label
wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Words nearest based on positive and negative words
wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
Words nearest based on positive and negative words * @param top the top n words
wordsNearest(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
wordsNearest(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Words nearest based on positive and negative words
wordsNearest(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Get the top n words most similar to the given word
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words * @param top the top n words
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words
wordsNearest(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Get the top n words most similar to the given word
wordsNearest(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
wordsNearest(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Words nearest based on positive and negative words PLEASE NOTE: This method is not available in this implementation.
wordsNearest(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Get the top n words most similar to the given word PLEASE NOTE: This method is not available in this implementation.
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Get the top n words most similar to the given word
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Words nearest based on positive and negative words * @param top the top n words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
Words nearest based on positive and negative words
wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
 
wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
 
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.reader.ModelUtils
 
wordsNearestSum(INDArray, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
 
wordsNearestSum(String, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Get the top n words most similar to the given word
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in interface org.deeplearning4j.models.embeddings.wordvectors.WordVectors
Words nearest based on positive and negative words
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Words nearest based on positive and negative words * @param top the top n words
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
Get the top n words most similar to the given word
wordsNearestSum(INDArray, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
 
wordsNearestSum(String, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Get the top n words most similar to the given word PLEASE NOTE: This method is not available in this implementation.
wordsNearestSum(Collection<String>, Collection<String>, int) - Method in class org.deeplearning4j.models.word2vec.StaticWord2Vec
Words nearest based on positive and negative words PLEASE NOTE: This method is not available in this implementation.
wordVectors(WordVectors) - Method in class org.deeplearning4j.iterator.CnnSentenceDataSetIterator.Builder
Provide the WordVectors instance that should be used for training
WordVectors - Interface in org.deeplearning4j.models.embeddings.wordvectors
Word vectors.
WordVectorSerializer - Class in org.deeplearning4j.models.embeddings.loader
This is utility class, providing various methods for WordVectors serialization
WordVectorSerializer.BinaryReader - Class in org.deeplearning4j.models.embeddings.loader
 
WordVectorSerializer.CSVReader - Class in org.deeplearning4j.models.embeddings.loader
 
WordVectorSerializer.Reader - Interface in org.deeplearning4j.models.embeddings.loader
 
WordVectorsImpl<T extends SequenceElement> - Class in org.deeplearning4j.models.embeddings.wordvectors
Common word vector operations
WordVectorsImpl() - Constructor for class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
WORKER_FLAT_MAP_DATA_SET_GET_TIMES_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WORKER_FLAT_MAP_GET_INITIAL_MODEL_TIME_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WORKER_FLAT_MAP_PROCESS_MINI_BATCH_TIMES_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WORKER_FLAT_MAP_TOTAL_TIME_MS - Static variable in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats
 
WorkerConfiguration - Class in org.deeplearning4j.spark.api
A simple configuration object (common settings for workers)
WorkerConfiguration() - Constructor for class org.deeplearning4j.spark.api.WorkerConfiguration
 
workerCounter - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
workerFlatMapDataSetGetTimesMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerFlatMapGetInitialModelTimeMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerFlatMapProcessMiniBatchTimesMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerFlatMapTotalTimeMs(List<EventStats>) - Method in class org.deeplearning4j.spark.api.stats.CommonSparkTrainingStats.Builder
 
workerID() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerID() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerID() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerID(String) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDCharacterEncoding() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDHeaderLength() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDId() - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDLength() - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
workerIDMetaAttribute(MetaAttribute) - Static method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
workerPrefetchNumBatches(int) - Method in class org.deeplearning4j.spark.impl.paramavg.ParameterAveragingTrainingMaster.Builder
Set the number of minibatches to asynchronously prefetch in the worker.
workers - Variable in class org.deeplearning4j.models.embeddings.wordvectors.WordVectorsImpl
 
workers - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
workers(int) - Method in class org.deeplearning4j.models.glove.AbstractCoOccurrences.Builder
 
workers - Variable in class org.deeplearning4j.models.glove.AbstractCoOccurrences
 
workers(int) - Method in class org.deeplearning4j.models.glove.Glove.Builder
 
workers(int) - Method in class org.deeplearning4j.models.node2vec.Node2Vec.Builder
Deprecated.
 
workers(int) - Method in class org.deeplearning4j.models.paragraphvectors.ParagraphVectors.Builder
This method defines maximum number of concurrent threads available for training
workers - Variable in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
 
workers(int) - Method in class org.deeplearning4j.models.sequencevectors.SequenceVectors.Builder
Sets number of worker threads to be used in calculations
workers(int) - Method in class org.deeplearning4j.models.word2vec.Word2Vec.Builder
This method defines maximum number of concurrent threads available for training
workers(int) - Method in class org.deeplearning4j.parallelism.ParallelInference.Builder
This method defines, how many model copies will be used for inference.
workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
workers(int) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
This method allows to configure number of workers that'll be used for parallel training
workers - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
workers(int) - Method in class org.deeplearning4j.spark.models.embeddings.word2vec.Word2Vec.Builder
Specify number of workers for training process.
workers - Variable in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
workers(int) - Method in class org.deeplearning4j.spark.models.sequencevectors.SparkSequenceVectors.Builder
 
workers(int) - Method in class org.deeplearning4j.spark.models.word2vec.SparkWord2Vec.Builder
 
workersCounter - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
workersPerNode(int) - Method in class org.deeplearning4j.spark.parameterserver.training.SharedTrainingMaster.Builder
This method allows to configure number of trainer threads per cluster node.
workingMemory(long, long, long, long) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Report the working memory size, for both inference and training
workingMemory(long, long, Map<CacheMode, Long>, Map<CacheMode, Long>) - Method in class org.deeplearning4j.nn.conf.memory.LayerMemoryReport.Builder
Report the working memory requirements, for both inference and training.
workspace() - Method in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceCache - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceConfigurationCache - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceConfigurationCache - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceConfigurationExternal - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceConfigurationExternal - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceConfigurationFeedForward - Variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceConfigurationFeedForward - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceExternal - Static variable in class org.deeplearning4j.clustering.sptree.SpTree
 
workspaceExternal - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncDataSetIterator
 
workspaceId - Variable in class org.deeplearning4j.datasets.iterator.AsyncMultiDataSetIterator
 
workspaceMode - Variable in class org.deeplearning4j.clustering.sptree.SpTree
 
WorkspaceMode - Enum in org.deeplearning4j.nn.conf
Workspace mode to use.
workspaceMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
workspaceMode(WorkspaceMode) - Method in class org.deeplearning4j.parallelism.ParallelWrapper.Builder
 
workspaceMode - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
workspaceMode - Variable in class org.deeplearning4j.parallelism.trainer.DefaultTrainer
 
workspaceMode - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
workspaceMode - Variable in class org.deeplearning4j.spark.parameterserver.conf.SharedTrainingConfiguration
 
workspaces - Variable in class org.deeplearning4j.optimize.solvers.accumulation.EncodedGradientsAccumulator
 
WorkspacesShieldDataSetIterator - Class in org.deeplearning4j.datasets.iterator
This iterator detaches/migrates DataSets coming out from backed DataSetIterator, thus providing "safe" DataSets.
WorkspacesShieldDataSetIterator(DataSetIterator) - Constructor for class org.deeplearning4j.datasets.iterator.WorkspacesShieldDataSetIterator
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.GroupSizeEncodingEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.InitFieldsPresentEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.MessageHeaderEncoder
 
wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.HwDeviceInfoGroupDecoder
 
wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.ModelParamNamesDecoder
 
wrap(StaticInfoDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder.SwEnvironmentInfoDecoder
 
wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoDecoder
 
wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.HwDeviceInfoGroupEncoder
 
wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.ModelParamNamesEncoder
 
wrap(StaticInfoEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder.SwEnvironmentInfoEncoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StaticInfoEncoder
 
wrap(StorageMetaDataDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder.ExtraMetaDataBytesDecoder
 
wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataDecoder
 
wrap(StorageMetaDataEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder.ExtraMetaDataBytesEncoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.StorageMetaDataEncoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder.MetaDataBytesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.DataSetMetaDataBytesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.GcStatsDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.LayerNamesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.MemoryUseDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.ParamNamesDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerformanceDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder.HistogramCountsDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.HistogramsDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder.SummaryStatDecoder
 
wrap(UpdateDecoder, DirectBuffer) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder.PerParameterStatsDecoder
 
wrap(DirectBuffer, int, int, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateDecoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder.MetaDataBytesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.DataSetMetaDataBytesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.GcStatsEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.LayerNamesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.MemoryUseEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.ParamNamesEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerformanceEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder.HistogramCountsEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.HistogramsEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder.SummaryStatEncoder
 
wrap(UpdateEncoder, MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder.PerParameterStatsEncoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentDecoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.UpdateFieldsPresentEncoder
 
wrap(DirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Decoder
 
wrap(MutableDirectBuffer, int) - Method in class org.deeplearning4j.ui.stats.sbe.VarDataUTF8Encoder
 
wrapper - Variable in class org.deeplearning4j.spark.parameterserver.pw.SharedTrainingWrapper
 
WrapperLayerParamInitializer - Class in org.deeplearning4j.nn.params
 
writableConverter(WritableConverter) - Method in class org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.Builder
 
writableConverter(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
write(OutputStream) - Method in class com.atilika.kuromoji.buffer.StringValueMapBuffer
 
write(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
write(OutputStream) - Method in class com.atilika.kuromoji.compile.WordIdMapCompiler
 
write(OutputStream, ByteBuffer) - Static method in class com.atilika.kuromoji.io.ByteBufferIO
 
write(OutputStream) - Method in class com.atilika.kuromoji.trie.DoubleArrayTrie
 
writeArray(OutputStream, int[]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
writeArray(OutputStream, String[]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
writeArray2D(OutputStream, int[][]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
writeArray2D(OutputStream, String[][]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
writeDictionary(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
writeFullModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeGraphVectors(DeepWalk, String) - Static method in class org.deeplearning4j.graph.models.loader.GraphVectorSerializer
 
writeImageToPpm(int[][], String) - Static method in class org.deeplearning4j.datasets.mnist.MnistManager
Writes the given image in the given file using the PPM data format.
writeMap(String, FeatureInfoMap) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
writeModel(String) - Method in class org.ansj.app.crf.Model
将model序列化到硬盘
writeModel(Model, File, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to a file
writeModel(Model, File, boolean, DataNormalization) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to a file
writeModel(Model, String, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to a file path
writeModel(Model, OutputStream, boolean) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to an output stream
writeModel(Model, OutputStream, boolean, DataNormalization) - Static method in class org.deeplearning4j.util.ModelSerializer
Write a model to an output stream
writeObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.ASCIICoOccurrenceWriter
 
writeObject(CoOccurrenceWeight<T>) - Method in class org.deeplearning4j.models.glove.count.BinaryCoOccurrenceWriter
 
writeObject(CoOccurrenceWeight<T>) - Method in interface org.deeplearning4j.models.glove.count.CoOccurrenceWriter
This method implementations should write out objects immediately
writeObjectToFile(String, Object, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeObjectToFile(String, Object, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write an object to HDFS (or local) using default Java object serialization
writeParagraphVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves ParagraphVectors model into compressed zip file
writeParagraphVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves ParagraphVectors model into compressed zip file located at path
writeParagraphVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves ParagraphVectors model into compressed zip file and sends it to output stream
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves specified SequenceVectors model to target file path
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves specified SequenceVectors model to target file
writeSequenceVectors(SequenceVectors<T>, SequenceElementFactory<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves specified SequenceVectors model to target OutputStream
writeSparseArray2D(OutputStream, int[][]) - Static method in class com.atilika.kuromoji.io.IntegerArrayIO
 
writeSparseArray2D(OutputStream, String[][]) - Static method in class com.atilika.kuromoji.io.StringArrayIO
 
writeStringToFile(String, String, JavaSparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeStringToFile(String, String, SparkContext) - Static method in class org.deeplearning4j.spark.util.SparkUtils
Write a String to a file (on HDFS or local) in UTF-8 format
writeTsneFormat(Glove, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Write the tsne format
writeTsneFormat(Word2Vec, INDArray, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Write the tsne format
writeVocabCache(VocabCache<VocabWord>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves vocab cache to provided File.
writeVocabCache(VocabCache<VocabWord>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves vocab cache to provided OutputStream.
writeWord2VecModel(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWord2VecModel(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWord2VecModel(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves Word2Vec model into compressed zip file and sends it to output stream PLEASE NOTE: This method saves FULL model, including syn0 AND syn1
writeWordIds(String) - Method in class com.atilika.kuromoji.compile.TokenInfoDictionaryCompilerBase
 
writeWordVectors(WeightLookupTable<T>, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method writes word vectors to the given path.
writeWordVectors(WeightLookupTable<T>, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method writes word vectors to the given file.
writeWordVectors(WeightLookupTable<T>, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method writes word vectors to the given OutputStream.
writeWordVectors(ParagraphVectors, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(ParagraphVectors, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Glove, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves GloVe model to the given output stream.
writeWordVectors(Glove, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves GloVe model to the given output stream.
writeWordVectors(Glove, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
This method saves GloVe model to the given OutputStream
writeWordVectors(ParagraphVectors, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(InMemoryLookupTable, InMemoryLookupCache, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, String) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, File) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, OutputStream) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
writeWordVectors(Word2Vec, BufferedWriter) - Static method in class org.deeplearning4j.models.embeddings.loader.WordVectorSerializer
Deprecated.
WRONG - Static variable in class org.deeplearning4j.models.embeddings.reader.impl.BasicModelUtils
 
WS_ALL_LAYERS_ACT - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
Workspace for storing all layers' activations - used only to store activations (layer inputs) as part of backprop Not used for inference
WS_ALL_LAYERS_ACT - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Workspace for storing all layers' activations - used only to store activations (layer inputs) as part of backprop Not used for inference
WS_ALL_LAYERS_ACT_CONFIG - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_ALL_LAYERS_ACT_CONFIG - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_LAYER_ACT_1 - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Next 2 workspaces: used for: (a) Inference: holds activations for one layer only (b) Backprop: holds activation gradients for one layer only In both cases, they are opened and closed on every second layer
WS_LAYER_ACT_2 - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_LAYER_ACT_X_CONFIG - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_LAYER_ACT_X_CONFIG - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_LAYER_WORKING_MEM - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
Workspace for working memory for a single layer: forward pass and backward pass Note that this is opened/closed once per op (activate/backpropGradient call)
WS_LAYER_WORKING_MEM - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Workspace for working memory for a single layer: forward pass and backward pass Note that this is opened/closed once per op (activate/backpropGradient call)
WS_LAYER_WORKING_MEM_CONFIG - Variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_LAYER_WORKING_MEM_CONFIG - Variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 
WS_RNN_LOOP_WORKING_MEM - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
Workspace for working memory in RNNs - opened and closed once per RNN time step
WS_RNN_LOOP_WORKING_MEM - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
Workspace for working memory in RNNs - opened and closed once per RNN time step
WS_RNN_LOOP_WORKING_MEM_CONFIG - Static variable in class org.deeplearning4j.nn.graph.ComputationGraph
 
WS_RNN_LOOP_WORKING_MEM_CONFIG - Static variable in class org.deeplearning4j.nn.multilayer.MultiLayerNetwork
 

X

X_MAX - Static variable in class org.deeplearning4j.spark.models.embeddings.glove.GlovePerformer
 
Xception - Class in org.deeplearning4j.zoo.model
U-Net An implementation of Xception in Deeplearning4j.
xHat - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
xMax - Variable in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
 
xMax(double) - Method in class org.deeplearning4j.models.embeddings.learning.impl.elements.GloVe.Builder
Parameter specifying cutoff in weighting function; default 100.0
xMax(double) - Method in class org.deeplearning4j.models.glove.Glove.Builder
Parameter specifying cutoff in weighting function; default 100.0
xMax(double) - Method in class org.deeplearning4j.models.glove.GloveWeightLookupTable.Builder
Deprecated.
 
xMax(double) - Method in class org.deeplearning4j.spark.models.embeddings.glove.GloveParam.Builder
 
xMax(double) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
xMin(double) - Method in class org.deeplearning4j.ui.components.chart.ChartHorizontalBar.Builder
 
xMu - Variable in class org.deeplearning4j.nn.layers.normalization.BatchNormalization
 
xVals(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the x values of the given vector.

Y

Y - Variable in class org.deeplearning4j.plot.BarnesHutTsne
 
Y - Variable in class org.deeplearning4j.plot.Tsne
 
Y_GRAD - Static variable in class org.deeplearning4j.plot.BarnesHutTsne
 
yamlMapper - Static variable in class org.deeplearning4j.spark.impl.paramavg.BaseTrainingMaster
 
yield() - Method in class org.deeplearning4j.nn.layers.feedforward.autoencoder.recursive.Tree
Returns all of the labels for this node and all of its children (recursively)
YOLO2 - Class in org.deeplearning4j.zoo.model
YOLOv2 Reference: https://arxiv.org/pdf/1612.08242.pdf
Yolo2OutputLayer - Class in org.deeplearning4j.nn.conf.layers.objdetect
Output (loss) layer for YOLOv2 object detection model, based on the papers: YOLO9000: Better, Faster, Stronger - Redmon & Farhadi (2016) - https://arxiv.org/abs/1612.08242
and
You Only Look Once: Unified, Real-Time Object Detection - Redmon et al.
Yolo2OutputLayer - Class in org.deeplearning4j.nn.layers.objdetect
Output (loss) layer for YOLOv2 object detection model, based on the papers: YOLO9000: Better, Faster, Stronger - Redmon & Farhadi (2016) - https://arxiv.org/abs/1612.08242
and
You Only Look Once: Unified, Real-Time Object Detection - Redmon et al.
Yolo2OutputLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.objdetect.Yolo2OutputLayer
 
Yolo2OutputLayer.Builder - Class in org.deeplearning4j.nn.conf.layers.objdetect
 
YoloUtils - Class in org.deeplearning4j.nn.layers.objdetect
Functionality to interpret the network output of Yolo2OutputLayer.
YoloUtils() - Constructor for class org.deeplearning4j.nn.layers.objdetect.YoloUtils
 
yVals(double[]) - Static method in class org.deeplearning4j.clustering.util.MathUtils
This returns the odd indexed values for the given vector

Z

zero(Counter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ElementsFrequenciesAccumulator
 
zero(ExtraCounter<Long>) - Method in class org.deeplearning4j.spark.models.sequencevectors.functions.ExtraElementsFrequenciesAccumulator
 
zero(Counter<Integer>) - Method in class org.deeplearning4j.spark.text.accumulators.MaxPerPartitionAccumulator
 
zero(Counter<String>) - Method in class org.deeplearning4j.spark.text.accumulators.WordFreqAccumulator
 
ZeroDirection - Class in org.deeplearning4j.optimize.terminations
Absolute magnitude of gradient is 0
ZeroDirection() - Constructor for class org.deeplearning4j.optimize.terminations.ZeroDirection
 
zeroedPretrainParamGradients - Variable in class org.deeplearning4j.nn.layers.variational.VariationalAutoencoder
 
ZeroLengthSequenceException - Exception in org.deeplearning4j.datasets.datavec.exception
Unchecked exception, thrown to signify that a zero-length sequence data set was encountered.
ZeroLengthSequenceException() - Constructor for exception org.deeplearning4j.datasets.datavec.exception.ZeroLengthSequenceException
 
ZeroLengthSequenceException(String) - Constructor for exception org.deeplearning4j.datasets.datavec.exception.ZeroLengthSequenceException
 
ZeroMeanAndUnitVariancePreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
Zero mean and unit variance operation
ZeroMeanAndUnitVariancePreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanAndUnitVariancePreProcessor
 
ZeroMeanPrePreProcessor - Class in org.deeplearning4j.nn.conf.preprocessor
Zero mean and unit variance operation
ZeroMeanPrePreProcessor() - Constructor for class org.deeplearning4j.nn.conf.preprocessor.ZeroMeanPrePreProcessor
 
ZeroPadding1DLayer - Class in org.deeplearning4j.nn.conf.layers
Zero padding 1D layer for convolutional neural networks.
ZeroPadding1DLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero padding 1D layer for convolutional neural networks.
ZeroPadding1DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ZeroPadding1DLayer
 
ZeroPadding1DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
ZeroPadding3DLayer - Class in org.deeplearning4j.nn.conf.layers
Zero padding 3D layer for convolutional neural networks.
ZeroPadding3DLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero padding 3D layer for convolutional neural networks.
ZeroPadding3DLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ZeroPadding3DLayer
 
ZeroPadding3DLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
ZeroPaddingLayer - Class in org.deeplearning4j.nn.conf.layers
Zero padding layer for convolutional neural networks.
ZeroPaddingLayer(int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
ZeroPaddingLayer(int, int, int, int) - Constructor for class org.deeplearning4j.nn.conf.layers.ZeroPaddingLayer
 
ZeroPaddingLayer - Class in org.deeplearning4j.nn.layers.convolution
Zero padding layer for convolutional neural networks.
ZeroPaddingLayer(NeuralNetConfiguration) - Constructor for class org.deeplearning4j.nn.layers.convolution.ZeroPaddingLayer
 
ZeroPaddingLayer.Builder - Class in org.deeplearning4j.nn.conf.layers
 
zoo - Variable in class org.deeplearning4j.parallelism.ParallelWrapper
 
zooKeeperHost(String) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
zooKeeperHost - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
zooKeeperPort(int) - Method in class org.deeplearning4j.streaming.routes.CamelKafkaRouteBuilder.Builder
 
zooKeeperPort - Variable in class org.deeplearning4j.streaming.routes.DL4jServeRouteBuilder
 
ZooModel<T> - Class in org.deeplearning4j.zoo
A zoo model is instantiable, returns information about itself, and can download pretrained models if available.
ZooModel() - Constructor for class org.deeplearning4j.zoo.ZooModel
 
ZooType - Enum in org.deeplearning4j.zoo
Enumerator for choosing different models, and different types of models.
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